JP2013003087A - Navigation device - Google Patents

Abstract

An object of the present invention is to provide a technique capable of generating familiar destination candidates from programs in various places.
A navigation device is a navigation device having a function of generating destination candidates from broadcast wave reception signals, a keyword data unit 5 for storing keyword data for generating destination candidates, and a processing Unit 6 and destination search processing unit 11. The processing unit 6 extracts an in-program keyword included in the received signal of the program based on the keyword data. The destination search processing unit 11 generates a facility corresponding to the in-program keyword existing near the current location as a destination candidate based on the in-program keyword.
[Selection] Figure 1

Description

  The present invention relates to a navigation apparatus, and more particularly, to a navigation apparatus having a function of generating destination candidates from broadcast wave reception signals.

  Some navigation devices that guide users to their destinations receive radio and TV broadcast waves and output program audio and the like. When a user of such a device is watching a program, the user may want to use the facility introduced there as a destination. However, in order to realize this, the user can use the information as a destination in addition to tasks such as memorizing, writing down, taking a picture, etc., such as the address, postal code, telephone number, and name of the facility. It was necessary to carry out the setting work for this, which was troublesome.

  Therefore, in order to reduce such time and effort, the technology disclosed in Patent Document 1 acquires language information broadcast in the program from the broadcast wave of the program and automatically uses it as a destination candidate. Is generated.

JP 2006-3259 A

  However, for example, if the program whose language information is to be acquired is a nationwide network program, most of the facilities introduced there are large cities, so it is automatically generated for users who use devices in rural areas. It is considered that most of the candidate destinations cannot be used.

  Therefore, the present invention has been made in view of the above problems, and an object of the present invention is to provide a technology capable of generating familiar destination candidates from programs in various places. .

  A navigation device according to the present invention is a navigation device having a function of generating destination candidates from broadcast wave reception signals, a keyword data section for storing keyword data for generating destination candidates, and the keyword A processing unit that extracts a keyword in a program included in a received signal of a program based on data, and a facility that generates a facility corresponding to the keyword in the program existing near the current location as a destination candidate based on the keyword in the program A ground search processing unit.

  According to the present invention, a facility corresponding to an in-program keyword existing near the current location is generated as a destination candidate. Therefore, it is possible to generate familiar destination candidates from programs in various places regardless of whether the apparatus is in a large city or a local area.

It is a block diagram which shows the structure of the car navigation apparatus which concerns on embodiment. It is a figure which shows the information which the car navigation apparatus which concerns on embodiment has memorize | stored. It is a figure which shows the information which the car navigation apparatus which concerns on embodiment has memorize | stored. It is a figure which shows the information which the car navigation apparatus which concerns on embodiment has memorize | stored. It is a flowchart which shows operation | movement of the car navigation apparatus which concerns on embodiment. It is a figure which shows operation | movement of the car navigation apparatus which concerns on embodiment. It is a figure which shows operation | movement of the car navigation apparatus which concerns on embodiment. It is a figure which shows operation | movement of the car navigation apparatus which concerns on embodiment. It is a flowchart which shows operation | movement of the car navigation apparatus which concerns on embodiment. It is a figure which shows operation | movement of the car navigation apparatus which concerns on embodiment. It is a figure which shows operation | movement of the car navigation apparatus which concerns on embodiment.

<Embodiment>
The navigation device according to the present invention will be described below as a car navigation device.

  FIG. 1 is a block diagram showing a configuration of a car navigation apparatus according to an embodiment of the present invention. As shown in FIG. 1, the car navigation device includes a radio broadcast receiving unit 1, a TV broadcast receiving unit 2, an audio output unit 3 such as a speaker, a display unit 4 such as a display, a keyword data unit 5, A processing unit 6, a storage unit 7, a current time detection unit 8, a current position detection unit 9, a map data unit 10, a destination search processing unit 11, and an operation unit 12 that receives various operations from a user And a control unit 13 that comprehensively controls each component based on an operation received by the operation unit 12. Here, the processing unit 6 includes a voice recognition unit 21, an image recognition unit 22, and a recognition information processing unit 23.

  The car navigation apparatus according to the present embodiment configured as described above has a function of generating destination candidates from radio wave and TV broadcast wave reception signals. Moreover, it is possible to generate familiar destination candidates from programs in various places regardless of large cities and regions. Hereinafter, such a car navigation apparatus will be described in detail.

  The radio broadcast receiving unit 1 receives a broadcast wave for a radio program designated by the operation unit 12 and acquires a reception signal (audio signal) included therein. The radio broadcast receiving unit 1 outputs the audio signal to the audio output unit 3 and the audio recognition unit 21.

  The TV broadcast receiving unit 2 receives broadcast waves for the TV program designated by the operation unit 12 and acquires reception signals (audio signals and video signals) included therein. The TV broadcast receiving unit 2 outputs the audio signal to the audio output unit 3 and the audio recognition unit 21, and outputs the video signal to the display unit 4 and the image recognition unit 22.

  The audio output unit 3 outputs audio based on the input audio signal. Thereby, the sound of the radio program or TV program desired by the user is output. In the present embodiment, the audio output unit 3 can output audio information and the like used for navigation under the control of the control unit 13.

  The display unit 4 displays video based on the input video signal. Thereby, the video of the TV program desired by the user is displayed. In the present embodiment, the display unit 4 can also display video information and the like used for navigation under the control of the control unit 13.

  The keyword data unit 5 stores keyword data for generating destination candidates. FIG. 2 is a diagram illustrating an example of keyword data stored in the keyword data unit 5. As shown in this figure, the keyword data in the present embodiment includes a plurality of keywords classified into the major classification, middle classification, small classification, and facility levels (here, four levels). Each keyword on the upper layer side (major classification side) indicates attributes common to the corresponding keywords on the lower layer side (facility side). Here, the middle classification corresponds to the type of business. The small classification corresponds to the name of a dish, the name of a product, the name of equipment, and the facility corresponds to the name of a store. In addition, at least one layer is defined as the target layer, and here, it is assumed that the medium classification corresponding to the business type is defined as the target layer.

  Returning to FIG. 1, the processing unit 6 includes the voice recognition unit 21, the image recognition unit 22, and the recognition information processing unit 23 as described above. The processing unit 6 receives a program based on the keyword data. In-program keywords included in the signal are extracted. Next, each component of the processing unit 6 will be described.

  The voice recognition unit 21 that is a recognition unit analyzes the voice indicated by the reception signal (sound signal) of the program from the radio broadcast receiving unit 1 or the TV broadcast receiving unit 2 and extracts language information included in the voice, Output to the recognition information processing unit 23. As will be described later, since the language information is used for the keyword extraction process within the program by the recognition information processing unit 23, the voice recognition unit 21 is used for the keyword extraction process within the program.

  The image recognizing unit 22 as a recognizing unit analyzes the video indicated by the received signal (video signal) of the program from the TV broadcast receiving unit 2, extracts language information included in the video, and sends it to the recognition information processing unit 23. Output. That is, the image recognition unit 22 is used for the keyword extraction process in the program.

  The recognition information processing unit 23 is configured to program based on the language information extracted by the voice recognition unit 21 or the image recognition unit 22 (hereinafter also referred to as “extracted language information”) and the keyword data of the keyword data unit 5. Extract keywords. Here, when the extracted language information matches any of the plurality of keywords shown in FIG. 2, the recognition information processing unit 23 sets the extracted language information as the in-program keyword.

  Further, the recognition information processing unit 23 identifies the middle-classified keyword as the specific keyword based on the keyword data hierarchy from the in-program keyword. Although details will be described later, specifically, the recognition information processing unit 23 specifies the keyword as a specific keyword when the keyword in the program matches the keyword in the middle classification (target hierarchy), and If the keyword matches a hierarchical keyword other than the middle classification (target hierarchy), the middle classification keyword corresponding to the keyword is specified as a specific keyword.

  Further, the recognition information processing unit 23 (processing unit 6) counts the number of times the specific keyword is specified for each specific keyword. Then, the recognition information processing unit 23 (processing unit 6) stores the above in-program keyword, specific keyword, and number of times in the storage unit 7 in association with the program name that is the program identification information.

  FIG. 3 is a diagram illustrating an example of information stored in the storage unit 7. In “program name”, “broadcast date / time”, and “genre”, for example, information on the program name, broadcast date / time, and genre included in the received signal is stored. The “in-program keyword” stores the in-program keyword extracted by the recognition information processing unit 23. In the “specific keyword (medium category)”, the specific keyword specified by the recognition information processing unit 23 is stored. That is, the storage unit 7 stores a program name (program identification information) and a specific keyword in association with each other. In the “specific number of times”, the number of times counted by the recognition information processing unit 23 is stored.

  Returning to FIG. 1, the current time detection unit 8 includes a timer, for example, and detects the current time.

  The current position detection unit 9 includes, for example, a GPS (Global Positioning System), a yaw rate sensor, and an acceleration sensor, and detects the current location of the car navigation device on absolute coordinates (longitude / latitude).

  The map data unit 10 includes map data to which absolute coordinates are added, and information about the facility (for example, information such as the name of the facility, a middle-class keyword corresponding to the facility, and the coordinate position of the facility on the map). It is remembered.

  As shown in FIG. 4, the map data unit 10 also stores information in which a keyword “major category”, a keyword “medium category”, and a “time zone” are associated with each other. Among these, the “time zone” is set to a time zone in which there is a high possibility that the middle class keyword is set as the destination. However, for industries that are highly likely to be set all day regardless of time, such as a convenience store, “not specified” is set to “time zone”. In FIG. 4, one time zone is set for one middle class keyword, but the present invention is not limited to this, and a plurality of time zones may be set.

  The destination search processing unit 11 generates a facility corresponding to the in-program keyword existing near the current location as a destination candidate based on the in-program keyword. In the present embodiment, the destination search processing unit 11 generates a destination candidate based on the specific keyword specified by the recognition information processing unit 23 based on the keyword in the program.

  For example, as shown in FIG. 3, when a specific keyword is stored in the storage unit 7 and “program a” is designated by the operation unit 12, the destination search processing unit 11 sets “program a” to “program a”. Destination candidates are created based on specific keywords such as “curry shop” and “Western food”. That is, in the present embodiment, the destination search processing unit 11 generates destination candidates based on the specific keyword in the storage unit 7 corresponding to the program specified by the operation unit 12. The destination candidates generated by the destination search processing unit 11 are displayed on the display unit 4.

  Next, the operation of the car navigation device having the above configuration will be described.

  FIG. 5 is a flowchart showing a process in which the car navigation device according to the present embodiment extracts and stores a specific keyword. Here, it is assumed that the TV is turned on before step S1, that is, the audio and video of the TV program are output and displayed, and the specific keyword is extracted from the TV program being viewed. Even when the radio is on, the same processing as described below is performed.

  First, in step S1, the program name included in the received signal, that is, the name of the program being viewed is acquired. When the program name is not included in the received signal as in analog radio broadcasting, the car navigation device stores the time zone that the user was watching instead of the program name.

  In step S2, the voice recognition unit 21 and the image recognition unit 22 analyze the received signal of the program being viewed, and in step S3, extract language information included therein.

  In step S4, when the language information extracted in step S3 matches the keyword as shown in FIG. 2 stored in the keyword data unit 5, the recognition information processing unit 23 uses the language information (keyword). Extracted as in-program keywords. Then, the recognition information processing unit 23 determines whether or not the extracted in-program keyword matches the “medium category” keyword as shown in FIG. If the recognition information processing unit 23 determines that they match, the recognition information processing unit 23 specifies the middle-category keyword as a specific keyword and stores it in the storage unit 7 in step S5. For example, when a video as shown in FIG. 6 is broadcast in a program, the character telop “cafe” in the video is set as the middle-category keyword shown in FIG. It is specified as a specific keyword and is stored in the “specific keyword” shown in FIG. On the other hand, if it is determined in step S4 that they do not match, the process proceeds to step S6.

  In step S <b> 6, the recognition information processing unit 23 determines whether the in-program keyword determined not to match in step S <b> 4 matches the “small category” keyword that is a layer other than the middle category. If the recognition information processing unit 23 determines that they match, it identifies the middle-classified keyword corresponding to the keyword as a specific keyword in step S7, and stores it in the storage unit 7 in step S5. For example, when the sound as shown in FIG. 7 is broadcast in the program, “ice cream” in the sound is set as the small category keyword shown in FIG. The corresponding middle class keyword “candy” is specified as a specific keyword and stored in the “specific keyword” shown in FIG. On the other hand, if it is determined in step S6 that they do not match, the process proceeds to step S8.

  In step S <b> 8, the recognition information processing unit 23 determines whether the keyword in the program determined not to match in step S <b> 6 matches the keyword of “facility” that is a layer other than the middle classification. If the recognition information processing unit 23 determines that they match, it identifies the middle-classified keyword corresponding to the keyword as a specific keyword in step S9, and stores it in the storage unit 7 in step S5. For example, when a video as shown in FIG. 8 is broadcast in the program, the “curry store C1” marked on the signboard in the video is set as the keyword of the facility shown in FIG. “Curry shop”, which is a middle class keyword corresponding to “curry store C1”, is specified as a specific keyword and stored in “specific keyword” shown in FIG. On the other hand, if it is determined in step S8 that they do not match, the process returns to step S1 and the same processing as described above is performed on the subsequent received signal.

  After step S5, it is determined in step S10 whether the TV is OFF. If it is determined that the TV is OFF, the process ends. If it is determined that the TV is not OFF, the process returns to step S1 and the subsequent received signal is processed. Thus, the same processing as described above is performed.

  In the re-processing performed after returning to step S1, when the specific keyword specified earlier is specified again, the recognition information processing unit 23 stores the “specific number of times” in the storage unit 7 corresponding to the specific keyword. "(Figure 3) is incremented by one.

  FIG. 9 is a flowchart showing a process in which the car navigation device according to the present embodiment generates a facility corresponding to a specific keyword as a destination candidate.

  First, in step S <b> 21, the destination search processing unit 11 determines whether or not a specific keyword is stored in the “specific keyword” (FIG. 3) in the storage unit 7. Then, according to the determination result, the process proceeds to step S22 or step S31, and a search method designation screen for designating a destination search method is displayed on the display unit 4.

  FIG. 10 is a diagram illustrating an example of the search method designation screen. Here, as an example of the destination search method, “Address”, “Name” and “Telephone” buttons for entering the destination search mode from the facility address, name, and telephone, the current location, and registration "Peripheral", "Registration" and "History" buttons for shifting to a destination search mode from a point that was previously set as a destination, a "Home" button for home, and "Broadcasting" "Button.

  The “broadcast” button is a button for shifting to a mode for searching for a destination based on a specific keyword stored in “specific keyword” of the storage unit 7. In this embodiment, if it is determined in step S21 that the specific keyword is stored in the storage unit 7, a search method designation screen for displaying a “broadcast” button as shown in FIG. 10 in step S22. Is displayed on the display unit 4, and the process proceeds to step S23.

  On the other hand, if it is determined in step S21 that it is not stored, a search method designation screen for hiding the “broadcast” button is displayed on the display unit 4 in step S31. Thereafter, for example, the destination is determined by a search method other than the “broadcast” button, guidance to the destination is performed, and the process ends.

  In step S23, when the operation unit 12 accepts the designation of the “broadcast” button, the program name stored in the “program name” (FIG. 3) of the storage unit 7 is displayed on the display unit 4. A display example of the program name at this time is shown on the left side of FIG. In the example shown in this figure, program names close to the current time are displayed in order from the top.

  When the operation unit 12 receives designation of a program name from among the program names displayed on the display unit 4, in step S24, the destination search processing unit 11 specifies a specific keyword corresponding to the designated program name. Is acquired from the “specific keyword” (FIG. 3) in the storage unit 7. For example, when information such as that shown in FIG. 3 is stored in the storage unit 7 and “program a” is designated by the operation unit 12, “curry shop” to “public”,... The

  In step S25, the destination search processing unit 11 determines whether there is a keyword stored with the “time zone” (FIG. 4) of the map data unit 10 specified among the specific keywords acquired in step S24. To do. If it is determined that it is not stored, the process proceeds to step S26, and if not, the process proceeds to step S27.

  In step S26, among the facilities corresponding to the specific keyword (eg, “curry shop”) in step S24, a plurality of facilities (eg, “curry shop C3”, “curry shop C2”, etc.) near the current location are displayed in the map data section 10. As shown on the right side of FIG. 11, the facilities are displayed in a list format on the display unit 4. In this embodiment, in principle, facilities are displayed in order of distance from the current location of the car navigation device. In addition, the arrow shown next to the distance in this figure indicates the direction (direction) of the facility with respect to the car navigation device.

  If the process proceeds to step S27, the current time detection unit 8 detects the current time. In step S28, the destination search processing unit 11 specifies the “time zone” (FIG. 4) to which the current time belongs from the map data unit 10, and among the specific keywords in step S24, the “time” A keyword matching “medium class keyword” corresponding to “band” is acquired.

  In step S28, the destination search processing unit 11 displays the facility corresponding to the acquired keyword so that it is preferentially displayed on the display unit 4 in step S26 performed after step S28. Change the priority of facilities to be used.

  Here, with respect to a specific example of processing in the case where step S26 is performed via step S28, information as shown in FIG. 4 is stored in the map data unit 10, and the specific keyword corresponding to “program a” in step S24. As an example, a case where “curry shop” and “cafe / sweets” have been acquired will be described. In this case, if the operation unit 12 has received a designation operation between 11:00 and 14:00, “curry shop” is acquired in step S28, while the operation unit 12 is acquired from 14:00 to 16:00. If the designated operation has been received until then, “cafe / candy” is acquired in step S28.

  Then, as shown on the right side of FIG. 11, when the operation unit 12 has received an operation from 11:00 to 14:00, the “curry shop” facility (store) is in the upper rank in step S26. If it is displayed on the display unit 4 as a candidate site, and the operation unit 12 has received an operation between 14:00 and 16:00, the facility (store) of “cafe / sweets” in step S26. Is displayed on the display unit 4 as an upper candidate site.

  After step S26, in step S29, it is determined whether or not one facility is determined as a candidate site from the facilities displayed on the display unit 4. When it determines with having been determined, it progresses to step S30, and when that is not right, it returns to step S28.

  In step S30, a route from the current location to the candidate location determined in step S29 is searched, and guidance along the route is performed using the audio of the audio output unit 3 and the video of the display unit 4.

  According to the car navigation apparatus according to the present embodiment as described above, a facility corresponding to a keyword in a program existing near the current location is generated as a destination candidate. Therefore, it is possible to generate familiar destination candidates from programs broadcast in various places regardless of whether the apparatus is in a large city or a local area.

  Moreover, according to this Embodiment, the destination candidate is produced | generated based on the specific keyword specified based on the keyword in a program. Therefore, even if it is far away from the facility (store) introduced in the program, a facility having a common upper hierarchy (such as a business type) is generated as a destination candidate. Therefore, even when the car navigation device is located in a rural area and the facility introduced in the program exists in a large city, the possibility that a destination candidate is generated can be increased.

  Further, according to the present embodiment, the destination candidate is generated based on the specific keyword in the storage unit 7 corresponding to the program designated by the operation unit 12. That is, since the specific keyword is stored, a destination candidate can be generated from the program after the broadcast of the program being viewed ends. In the present invention, destination candidates may be generated almost simultaneously with reception of broadcast waves of a program. In this case, if it is not necessary to generate a destination candidate after the broadcast of the program being viewed ends, the storage unit 7 may not be provided.

  Moreover, according to this Embodiment, the destination search process part 11 changes the priority of the facility displayed on the display part 4 based on the time when the operation part 12 received predetermined | prescribed operation. Therefore, it is possible to preferentially introduce a facility that is highly likely to be a candidate site at the operated time, and it is possible to improve convenience.

  The facility corresponding to the keyword in the program having a large “specific number of times” (FIG. 3) in the storage unit 7 may be preferentially displayed on the display unit 4 in step S28. That is, the destination search processing unit 11 may change the priority order of the facilities displayed on the display unit 4 based on the number of times the specific keyword is specified. In this case, since a facility (store) that is highly relevant to the content broadcast in the program can be displayed as an upper candidate site, a facility that is likely to be designated as a candidate site by a user who has watched the program Can be preferentially introduced, and convenience can be improved. The destination search processing unit 11 may change the priority by combining the above-described time and the number of times.

  In the above description, the case where the specific keyword is specified from the middle classification to the facility keyword has been described. However, the specific keyword may be specified / restricted from the large classification. Further, when there are a plurality of specific keywords in step S27 shown in FIG. 9, one specific keyword may be specified by the user between step S27 and step S28.

  Further, in the above description, the car navigation device includes the radio broadcast reception unit 1 and the TV broadcast reception unit 2, but these may not be provided in the car navigation device but may be separate devices. .

  In the above description, the navigation device according to the present invention is a car navigation device. However, the navigation device is not limited to this as long as it guides the user to the destination. For example, a mobile phone or a PND (Portable Navigation Device).

  4 Display section, 5 Keyword data section, 6 Processing section, 7 Storage section, 8 Current time detection section, 10 Map data section, 11 Destination search processing section, 12 Operation section, 21 Voice recognition section, 22 Image recognition section, 23 Recognition information processing unit.

Claims (6)

A navigation device having a function of generating candidate destinations from broadcast wave reception signals,
A keyword data section for storing keyword data for generating destination candidates;
A processing unit for extracting a keyword in a program included in a received signal of a program based on the keyword data;
A navigation apparatus comprising: a destination search processing unit that generates a facility corresponding to the in-program keyword existing near the current location as a destination candidate based on the in-program keyword. The navigation device according to claim 1,
The processor is
A navigation apparatus comprising: a recognition unit that extracts language information included in a reception signal of the program and uses the extracted language information in the program keyword extraction process. The navigation device according to claim 1 or 2, wherein
The keyword data includes a plurality of keywords classified into hierarchies in which at least one hierarchy is defined as a target hierarchy,
The processor is
A recognition information processing unit that identifies a keyword of the target hierarchy as a specific keyword based on the hierarchy from the in-program keyword;
The navigation device, wherein the destination search processing unit generates the destination candidate based on the specific keyword specified by the recognition information processing unit based on the keyword in the program. The navigation device according to claim 3,
A storage unit for storing the identification information of the program and the specific keyword in association with each other;
An operation unit,
The navigation device, wherein the destination search processing unit generates the destination candidate based on the specific keyword of the storage unit corresponding to the program specified by the operation unit. A navigation device according to any one of claims 1 to 3,
An operation unit, a display unit, and a current time detection unit for detecting time;
The destination search processing unit
The navigation apparatus which changes the priority of the said facility displayed on the said display part based on the said time when the said operation part receives predetermined | prescribed operation. The navigation device according to claim 3,
A display unit;
The processing unit counts the number of times the specific keyword is specified for each specific keyword,
The destination search processing unit
The navigation apparatus which changes the priority of the said facility displayed on the said display part based on the said frequency | count.

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