JP2005332086A - Advertisement effect measuring method, advertisement effect measuring device, and advertisement effect measuring program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To measure the advertisement effect of an advertisement object appearing in a content to be provided to a user to enhance the degree of appeal to a program sponsor. <P>SOLUTION: This device comprises a content ID input part 1-1, an object ID input part 1-2, a segment data retrieval part 1-3, a segment time length arithmetic part 1-4, a segment time length integration part 1-5, an output part 1-6, and a segment data accumulation part 107. The segment data accumulation part 1-7 includes a table (segment data table ) TB1 describing the appearance start time and end time of the advertisement object (object) appearing in the content. For segment data specified by an input content ID and an object ID, the time difference between "start time" and "end time" in the segment data is determined as a segment time length, and a segment integrated time obtained by integrating the segment time length is outputted as the advertisement effect. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an advertisement effect measurement method, an advertisement effect measurement device, and an advertisement effect measurement program for advertising objects appearing in content such as video provided to a user.

  Conventionally, in commercial television programs and the like, commercials are inserted in the middle of video content (hereinafter simply referred to as content) constituting the main part of the program. For example, in Patent Document 1, contents and commercials are stored as independent ones, and commercials are inserted in the middle of the contents during broadcasting. Generally, program sponsors determine the advertising effectiveness of commercials based on the audience rating performance or assumed audience rating of the main program, and purchase commercial broadcast frames.

JP 2003-244671 A

  However, recently, due to the widespread use of recording devices equipped with hard disks, the viewing form of television programs has changed greatly, and not only watching television programs during their broadcast, but also storage on recording devices and what is broadcast time? The form of viewing independently is spreading. In the case of this viewing mode, the viewer (user) can skip and reproduce the commercial portion inserted in the middle of the content, resulting in a problem that the commercial of the program sponsor is not viewed.

  In addition, in server-type broadcasting, which is expected to start and spread in the near future, it is considered that viewing after accumulation will further spread, and there is a high possibility that commercials in the middle of content will be virtually unviewed.

  On the other hand, if the advertising target appears in the content, not in the middle of the content, it is possible to commercialize the user even in a viewing mode on a recording device equipped with a hard disk or a server type broadcast. Become. However, in the commercial method of making the advertising target appear in this content, the advertising target appears in an appropriate scene in the content, so the advertising effect of the advertising target is not well understood and the appeal to the program sponsor is weak There is a problem.

  The present invention has been made to solve such a problem, and the object of the present invention is to measure the advertising effect of the advertising target appearing in the content provided to the user, and to increase the appeal to the program sponsor. An object is to provide an advertisement effect measurement method, an advertisement effect measurement device, and an advertisement effect measurement program that can be enhanced.

In order to achieve such an object, the present invention specifies a step of designating content to be provided to a user and an advertising target, and the degree of appearance of the designated advertising target in the designated content as the advertising effect of the advertising target. And a calculating step.
According to the present invention, when the content and the advertising target are specified, the degree of appearance of the specified advertising target in the specified content is calculated as the advertising effect of the advertising target. For example, if the content A is specified as the content and the product B is specified as the advertising target, the degree of appearance of the product B in the content A is calculated as the advertising effect of the product B.

  In the present invention, the degree of appearance of the advertising target is obtained as an integrated value of the length of time for which the advertising target appears, for example. Note that the length of time that the advertising target appears may be replaced with points, and the total value of the points may be obtained as the degree of appearance of the advertising target. Alternatively, the number of times the advertising target appears may be counted, and this count value may be obtained as the degree of appearance of the advertising target.

  Further, in the present invention, when calculating the advertising effect of the advertising target, the degree of actualization (the actual degree of advertising target) when the designated advertising target appears in the designated content may be reflected. For example, as the manifestation level of the advertising target, ranking based on the exclusive area of the advertising target on the screen, the position of the advertising target on the screen, etc. can be considered.

  Further, in the present invention, when calculating the advertising effect of the advertising target, the manifestation level (content manifestation level) when the content in which the advertising target appears is provided to the user may be reflected. For example, the audience rating of the content is used as the degree of appearance of the content.

Further, in the present invention, in calculating the advertising effect of the advertising target, both the actual degree of the advertising target and the actual level of the content may be reflected.
The present invention can be configured as an apparatus to which the above-described method is applied, and can also be provided as a program that causes a computer to execute the process.

  According to the present invention, when the content and the advertising target are specified, the degree of appearance of the specified advertising target in the specified content is calculated as the advertising effect of the advertising target, so the advertisement appearing in the content provided to the user The advertising effectiveness of the target can be measured, and the appeal to the program sponsor can be increased.

Hereinafter, the present invention will be described in detail with reference to the drawings.
[Embodiment 1]
FIG. 1 is a diagram showing an outline of a hardware configuration of an embodiment of an advertisement effect measuring apparatus used for implementing the advertisement effect measuring method of the present invention. In the figure, 1A is a CPU, 1B is a RAM, 1C is a ROM, 1D is a storage device such as a hard disk, 1E and 1F are interfaces, 1G is a display, 1H is a keyboard, and 1J is a mouse.

  The CPU 1A obtains various input information given through the interfaces 1E and 1F, and operates according to programs stored in the ROM 1C and the storage device 1D while accessing the RAM 1B. The storage device 1D stores an advertisement effect measurement program PG as a program unique to the present embodiment. The advertisement effect measurement program PG is provided in a state where it is recorded on a recording medium such as a CD-ROM, and is read from the recording medium and installed in the storage device 1D. The storage device 1D stores a table TB1 as shown in FIG.

  The table TB1 includes items of “content ID”, “item number”, “object ID”, “start time”, and “end time”, and the content (program) to be provided to the user is indicated in “content ID”. The identification number (content ID) given to the main part (video content) is described, and the “object ID” indicates the identification number (object ID) of the advertising target (object) such as a product appearing in the content for each content. ) Is described. In addition, the “start time” describes the appearance start time of the advertisement target content for each advertisement target. In “End Time”, the appearance end time in the advertisement target content is described for each advertisement target.

  In the table TB1, “item number” is information described for explanation and is not essential. In this embodiment, a data group corresponding to each item number in the table TB1 is referred to as segment data. For example, regarding “content A”, “item name 1” “product name A (object ID)”, “00:01:32 (start time)”, and “00:03:11 (end time)” are displayed. One segment data is configured. In this embodiment, the table (segment data table) TB1 is created in advance and stored in the storage device 1D.

  FIG. 3 is a flowchart showing the processing operation of the CPU 1A according to the advertisement effect measurement program PG. When the content ID and the object ID are input (designated) from the operator via the keyboard 1H and the mouse 1J (steps 101 and 102), the CPU 1A accesses the table TB1 in the storage device 1D and inputs the input content ID. And segment data specified by the object ID are searched (step 103).

  For example, when the content ID is input as “content A” and the object ID is “product B”, the CPU 1A accesses the table TB1 in the storage device 1D and is specified by “content A” and “product B”. Search the segment data of “item number 2”, “item number 5”, and “item number 6” of “content A”.

  Then, for the segment data of “item number 2”, “item number 5”, and “item number 6” of the searched “content A”, the time difference between “start time” and “end time” in the segment data is “ The time length (segment time length) in which “product B” in “content A” appears is obtained (step 104), and the obtained segment time length is integrated (step 105). The accumulated segment time length (segment accumulated time) is output to the display 1G as the advertising effect of “product B” in “content A” (step 106).

  In this example, the segment time length of “Product B” of “Item B” of “Content A” is 43 seconds, the segment time length of “Product B” of “Item No. 5” of “Content A” is 59 seconds, Since the segment time length of “product B” of “item No. 6” of “content A” is obtained as 127 seconds, 43 + 59 + 127 = 229 is obtained as the segment integration time of “product B” in “content A”. This segment integration time indicates the degree of appearance of “product B” in “content A”, and this segment integration time is output to the display 1G as the advertising effect of “product B” in “content A”.

  FIG. 4 shows a functional block diagram of the first embodiment. The advertisement effect measuring apparatus according to the first embodiment includes a content ID input unit 1-1, an object ID input unit 1-2, a segment data search unit 1-3, a segment time length calculation unit 1-4, and a segment time. A length accumulation unit 1-5, an output unit 1-6, and a segment data storage unit 1-7 are provided. The segment data search unit 1-3, the segment time length calculation unit 1-4, the segment time length integration unit 1-5, and the output unit 1-6 are realized as part of the processing function of the computer, and the segment data storage unit 1-7 Stores a table TB1.

  In FIG. 4, the content ID input from the content ID input unit 1-1 and the object ID input from the object ID input unit 1-2 are given to the segment data search unit 1-3. The segment data search unit 1-3 accesses the segment data storage unit 1-7, searches for the segment data specified by the input content ID and object ID, and uses the searched segment data as the segment time length calculation unit 1 -4.

  The segment time length calculation unit 1-4 obtains the time difference between the “start time” and the “end time” in the segment data for the segment data from the segment data search unit 1-3 as the segment time length. Send to the accumulator 1-5. The segment time length integrating unit 1-5 integrates the segment time lengths from the segment time length calculating unit 1-4, and sends the accumulated segment time length (segment integrated time) to the output unit 1-6. The output unit 1-6 outputs the segment integration time from the segment time length integration unit 1-5 as an advertisement effect.

  In the first embodiment, the segment time length is integrated to obtain the advertisement effect. However, a table TB2 as shown in FIG. 5 in which points are assigned to the segment time length is prepared separately. The segment time length may be replaced with points, and the total value of these points may be obtained as the advertising effect.

  When the table TB2 shown in FIG. 5 is used, for example, when “content A” is specified as the content ID and “product B” is specified as the object ID, the “product B” point of “item No. 2” of “content A” is 4 points (43 seconds), “Product A” “Item B” “Product B” points 4 points (59 seconds), “Content A” “Item 6” “Product B” points Since 6 points (127 seconds) are obtained, 4 + 4 + 6 = 14 points are obtained as the total points of “product B” in “content A”. This total point indicates the degree of appearance of “product B” in “content A”, and this total point is output as the advertising effect of “product B” in “content A”.

  Further, instead of the segment time length, the number of times the advertising target appears may be counted, and this count value (number of appearances) may be obtained as the advertising effect. In this case, for example, when “content A” is specified as the content ID and “product B” is specified as the object ID, the segment data of “item number 2”, “item number 5”, and “item number 6” of “content A” are searched. Therefore, the number of appearances of “product B” is calculated as three. The number of appearances indicates the degree of appearance of “product B” in “content A”, and this number of appearances is output as the advertising effect of “product B” in “content A”.

  In the first embodiment, “object ID” is described in the table TB1 (FIG. 2), but a table TB3 (FIG. 6) in which “segment ID” is described instead of “object ID” is provided. Alternatively, a table TB4 (FIG. 7) describing a group of segment IDs for each advertisement target may be prepared separately. In this case, for example, when “content A” is designated as the content ID and “product B” is designated as the object ID, the segment ID “2” is defined as a group of segment IDs identified by “content A” and “product B” from the table TB4. , “5”, “6” are extracted, and the segment data specified by the segment IDs “2”, “5”, “6” are extracted from the table TB3. As a result, the same result as that obtained when the table TB1 shown in FIG. 2 is used can be obtained.

  In the first embodiment, “start time” and “end time” are described in the table TB1 (FIG. 2), but “time length” is used instead of “start time” and “end time”. The described table TB5 (FIG. 8) may be provided. In this case, since it is not necessary to obtain the time difference between the “start time” and the “end time”, the calculation process in step 104 shown in FIG. 3 and the segment time length calculation unit 1-4 shown in FIG. 4 are omitted. be able to.

[Embodiment 2]
In the second embodiment, a table (segment data table) TB6 shown in FIG. 9 is used instead of the table TB1 shown in FIG. In this table TB6, for each advertising target (object), the degree of revealing (the degree of revealing of the object) when the advertising target appears in the content is described. The visibility of this object can be arbitrarily set by the operator.

  In this example, the visibility is “1” when the advertising target is installed near the screen edge, the visibility is “2” when the advertising target is installed near the center of the screen, and the character is using the advertising target. The case is defined as a manifestation level “3”, and the case where the advertisement target is appealing is defined as a manifestation level “5”. Note that the visibility of the object may be determined by the exclusive area of the advertisement target on the screen. Further, the visibility of the object may be automatically determined.

  In the second embodiment, when the content ID and the object ID are input from the operator (steps 201 and 202 shown in FIG. 10), the CPU 1A accesses the table TB6 in the storage device 1D and designates the specified content ID. And segment data specified by the object ID are searched (step 203).

  For example, when the content ID is input as “content A” and the object ID is “product B”, the CPU 1A accesses the table TB6 in the storage device 1D, and is specified by “content A” and “product B”. Search the segment data of “item number 2”, “item number 5”, and “item number 6” of “content A”.

  Then, for the segment data of “item number 2”, “item number 5”, and “item number 6” of the searched “content A”, the time difference between “start time” and “end time” in the segment data is “ The time length (segment time length) in which “product B” in “content A” appears is obtained (step 204). Then, the obtained segment time length is multiplied by the revealing degree of the object extracted from the segment data (step 205), and the segment time length multiplied by the revealing degree of the object is integrated (step 206). Then, this accumulated segment time length (segment accumulated time) is output to the display 1G as the advertising effect of “product B” in “content A” (step 207).

  In this example, the segment time length of “Product B” of “Item B” of “Content A” is 43 seconds, the segment time length of “Product B” of “Item No. 5” of “Content A” is 59 seconds, The segment time length of “product B” of “item No. 6” of “content A” is obtained as 127 seconds, and the visibility of the object of “product B” of “item No. 2” of “content A” is “5”. , The manifestation degree of the object “product B” of “item No. 5” of “content A” is “2”, and the manifestation degree of the object of “product B” of “item No. 6” of “content A” is “2”. Therefore, 43 × 5 + 59 × 2 + 127 × 2 = 587 is obtained as the segment integration time of “product B” in “content A”, and this segment integration time (segment integration time reflecting the object visibility) ) “Content A” It is output to the display 1G as an advertising effect of “product B” in the middle.

  FIG. 11 shows a functional block diagram of the second embodiment. The advertisement effect measuring apparatus according to the second embodiment includes a content ID input unit 1-1, an object ID input unit 1-2, a segment data search unit 1-3, a segment time length calculation and object visibility reflection unit 1- 8, a segment time length accumulation unit 1-5, an output unit 1-6, and a segment data storage unit 1-7. The segment data search unit 1-3, the segment time length calculation and object visibility reflecting unit 1-8, the segment time length integrating unit 1-5, and the output unit 1-6 are realized as part of the processing function of the computer. The storage unit 1-7 stores a table TB6.

  In FIG. 11, the content ID input from the content ID input unit 1-1 and the object ID input from the object ID input unit 1-2 are given to the segment data search unit 1-3. The segment data search unit 1-3 accesses the segment data storage unit 1-7, searches for the segment data specified by the input content ID and object ID, and uses the searched segment data for the segment time length calculation and object It is sent to the visibility reflecting unit 1-8.

  The segment time length calculation and object visibility reflection unit 1-8 uses the time difference between the “start time” and “end time” in the segment data as the segment time length for the segment data from the segment data search unit 1-3. The obtained segment time length is multiplied by the revealing degree of the object extracted from the segment data, and the segment time length multiplied by the revealing degree of the object is sent to the segment time length accumulating unit 1-5.

  The segment time length integration unit 1-5 integrates the segment time length from the segment time length calculation and object manifestation degree reflection unit 1-8, and outputs the integrated segment time length (segment integration time) to the output unit 1-6. send. The output unit 1-6 outputs the segment integration time from the segment time length integration unit 1-5 (segment integration time reflecting the object visibility) as an advertisement effect.

  Also in the second embodiment, as in the first embodiment, the segment time length may be replaced with points, and the total value of the points may be obtained as the advertising effect. Alternatively, the number of times the advertisement target appears may be counted, and the actual value of the object may be reflected in this count value to obtain the advertisement effect. Further, the table TB6 may be a table in which “segment ID” is described instead of “object ID”, and the table TB4 (FIG. 7) in which a group of segment IDs is described for each advertisement target may be used together. Further, as the table TB6, a table describing “time length” instead of “start time” and “end time” may be used.

[Embodiment 3]
In the third embodiment, the manifestation degree (content manifestation degree) when the content in which the advertisement target appears is provided to the user in the segment integration time of the advertisement target obtained in the first embodiment is reflected. In this example, the audience rating of the content is used as the degree of appearance of the content.

  In the third embodiment, when the content ID, the object ID, and the visibility of the content (in this example, audience rating) are input from the operator (steps 301, 302, and 303 shown in FIG. 12), the CPU 1A stores the storage device 1D. The table TB1 is accessed, and the segment data specified by the designated content ID and object ID is searched (step 304).

  For example, when the content ID is input as “content A” and the object ID is “product B”, the CPU 1A accesses the table TB1 in the storage device 1D and is specified by “content A” and “product B”. Search the segment data of “item number 2”, “item number 5”, and “item number 6” of “content A”.

  Then, for the segment data of “item number 2”, “item number 5”, and “item number 6” of the searched “content A”, the time difference between “start time” and “end time” in the segment data is “ The time length (segment time length) at which “product B” in “content A” appears is obtained (step 305), and the obtained segment time length is integrated (step 306). Then, the integrated segment time length (segment integrated time) is multiplied by the audience rating input in step 303 as the manifestation level of “content A” (step 307), and the segment integrated time multiplied by this audience rating is “content” The advertisement effect of “product B” in “A” is output to the display 1G (step 308).

  In this example, the segment time length of “Product B” of “Item B” of “Content A” is 43 seconds, the segment time length of “Product B” of “Item No. 5” of “Content A” is 59 seconds, Since the segment time length of “product B” of “item No. 6” of “content A” is obtained as 127 seconds, 43 + 59 + 127 = 229 is obtained as the segment integration time of “product B” in “content A”. Here, if a value of 25.2%, for example, is input as the audience rating of “content A”, 229 × 25.2% = 57.708 is the segment of “product B” in “content A”. This segment integration time (segment integration time reflecting the content visibility) is output to the display 1G as the advertising effect of “product B” in “content A”.

  FIG. 13 shows a functional block diagram of the third embodiment. The advertisement effect measuring apparatus of Embodiment 3 includes a content ID input unit 1-1, an object ID input unit 1-2, a segment data search unit 1-3, a segment time length calculation unit 1-4, and a segment time A length accumulation unit 1-5, an output unit 1-6, a segment data storage unit 1-7, a content manifestation input unit 1-9, and a content manifestation reflection unit 1-10 are provided. The segment data search unit 1-3, the segment time length calculation unit 1-4, the segment time length integration unit 1-5, the content visibility reflecting unit 1-10, and the output unit 1-6 are realized as a part of the processing function of the computer. The table TB1 is stored in the segment data storage unit 1-7.

  In FIG. 13, the content ID input from the content ID input unit 1-1 and the object ID input from the object ID input unit 1-2 are given to the segment data search unit 1-3. The segment data search unit 1-3 accesses the segment data storage unit 1-7, searches for the segment data specified by the input content ID and object ID, and uses the searched segment data as the segment time length calculation unit 1 -4.

  The segment time length calculation unit 1-4 obtains the time difference between the “start time” and the “end time” in the segment data for the segment data from the segment data search unit 1-3 as the segment time length. Send to the accumulator 1-5. The segment time length integrating unit 1-5 integrates the segment time lengths from the segment time length calculating unit 1-4, and sends the integrated segment time length (segment integrated time) to the content manifestation degree reflecting unit 1-10.

  The content visibility reflecting unit 1-10 multiplies the segment integration time from the segment time length integration unit 1-5 by the audience rating (content visibility) from the content visibility input unit 1-9 and multiplies this audience rating. The segment integration time is sent to the output unit 1-6. The output unit 1-6 outputs the segment integration time (segment integration time reflecting the content manifestation level) from the content manifestation reflection unit 1-10 as an advertisement effect.

[Embodiment 4]
In the fourth embodiment, the manifestation level of the content in which the advertising target appears is reflected in the segment integration time of the advertising target obtained in the second embodiment. In this example, the audience rating of the content is used as the degree of appearance of the content.

  In the fourth embodiment, when the content ID, the object ID, and the visibility (viewing rate) of the content are input from the operator (steps 401, 402, and 403 shown in FIG. 14), the CPU 1A stores the table in the storage device 1D. TB6 is accessed and the segment data specified by the input content ID and object ID is searched (step 404).

  For example, when the content ID is input as “content A” and the object ID is “product B”, the CPU 1A accesses the table TB1 in the storage device 1D and is specified by “content A” and “product B”. Search the segment data of “item number 2”, “item number 5”, and “item number 6” of “content A”.

  Then, for the segment data of “item number 2”, “item number 5”, and “item number 6” of the searched “content A”, the time difference between “start time” and “end time” in the segment data is “ The time length (segment time length) at which “product B” in “content A” appears (step 405). Then, the obtained segment time length is multiplied by the actual degree of the object extracted from the segment data (step 406), and the segment time length multiplied by the actual degree of the object is integrated (step 407). Then, the accumulated segment time length (segment accumulated time) is multiplied by the audience rating input in step 403 as the manifestation level of “content A” (step 408), and the segment accumulated time multiplied by this audience rating is “ The advertisement effect of “product B” in “content A” is output to the display 1G (step 409).

  In this example, the segment time length of “Product B” of “Item B” of “Content A” is 43 seconds, the segment time length of “Product B” of “Item No. 5” of “Content A” is 59 seconds, The segment time length of “product B” of “item No. 6” of “content A” is obtained as 127 seconds, and the visibility of the object of “product B” of “item No. 2” of “content A” is “5”. , The manifestation degree of the object “product B” of “item No. 5” of “content A” is “2”, and the manifestation degree of the object of “product B” of “item No. 6” of “content A” is “2”. Therefore, 43 × 5 + 59 × 2 + 127 × 2 = 587 is obtained as the segment integration time of “product B” in “content A”. Here, if a value of 25.2%, for example, is input as the audience rating of “content A”, 587 × 25.2% = 147.294 is the segment of “product B” in “content A”. This segment integration time (segment integration time reflecting the object manifestation level and the content manifestation level) is output to the display 1G as the advertising effect of “product B” in “content A”.

  FIG. 15 shows a functional block diagram of the fourth embodiment. The advertisement effect measuring apparatus according to the fourth embodiment includes a content ID input unit 1-1, an object ID input unit 1-2, a segment data search unit 1-3, a segment time length calculation and object visibility reflecting unit 1- 8, a segment time length accumulating unit 1-5, an output unit 1-6, a segment data accumulating unit 1-7, a content revealing level input unit 1-9, and a content revealing level reflecting unit 1-10. ing. The segment data search unit 1-3, the segment time length calculation and object revealing level reflecting unit 1-8, the segment time length integrating unit 1-5, the content revealing level reflecting unit 1-10, and the output unit 1-6 are computer processing functions. The table TB6 is stored in the segment data storage unit 1-7.

  In FIG. 15, the content ID input from the content ID input unit 1-1 and the object ID input from the object ID input unit 1-2 are given to the segment data search unit 1-3. The segment data search unit 1-3 accesses the segment data storage unit 1-7, searches for the segment data specified by the input content ID and object ID, and uses the searched segment data for the segment time length calculation and object It is sent to the visibility reflecting unit 1-8.

  The segment time length calculation and object visibility reflection unit 1-8 uses the time difference between the “start time” and “end time” in the segment data as the segment time length for the segment data from the segment data search unit 1-3. The obtained segment time length is multiplied by the revealing degree of the object extracted from the segment data, and the segment time length multiplied by the revealing degree of the object is sent to the segment time length accumulating unit 1-5.

  The segment time length integrating unit 1-5 integrates the segment time length calculation and the segment time length from the object revealing degree reflecting unit 1-8 (segment time length reflecting the object revealing degree), and this accumulated segment time The long (segment integration time) is sent to the content visibility reflecting unit 1-10.

  The content visibility reflecting unit 1-10 multiplies the segment integration time from the segment time length integration unit 1-5 by the audience rating (content visibility) from the content visibility input unit 1-9 and multiplies this audience rating. The segment integration time is sent to the output unit 1-6. The output unit 1-6 outputs the segment integration time (segment integration time reflecting the object exposure level and content exposure level) from the content exposure level reflection unit 1-10 as an advertisement effect.

  In the third and fourth embodiments described above, the audience rating input as the degree of appearance of content is multiplied by the segment integration time obtained in the first and second embodiments. However, a table TB7 as shown in FIG. May be prepared separately, the inputted audience rating may be replaced with a point, and the advertisement effect may be obtained by multiplying the point by the segment integration time. For example, when the audience rating is 25.2%, the point 6 is obtained from the table TB7. Therefore, in the third embodiment, the point 6 is multiplied by the segment integration time obtained in the first embodiment to obtain the fourth embodiment. Then, the advertisement effect is obtained by multiplying the point 6 by the segment integration time obtained in the second embodiment.

  In the first to fourth embodiments described above, the content is video content and the advertising target is an object such as a product that appears in the video content. However, the content is audio content and the advertising target appears in the audio content. It is good also as names, such as goods. Further, the advertising target may be an arbitrary video related to the product.

It is a figure which shows the outline of the hardware constitutions of one Embodiment of the advertising effectiveness measuring apparatus used for implementation of the advertising effectiveness measuring method of this invention. It is a figure which shows table TB1 used in this advertisement effect measuring apparatus. It is a flowchart which shows the processing operation (Embodiment 1) of CPU according to the advertisement effect measurement program in this advertisement effect measurement apparatus. 3 is a functional block diagram according to the first embodiment. FIG. It is a figure which shows table TB2 used when replacing a segment time length with a point. It is a figure which shows table TB3 which described "segment ID" instead of "object ID." It is a figure which shows table TB4 which described the group of segment ID for every advertisement object. It is a figure which shows table TB5 which described "time length" instead of "start time" and "end time." It is a figure which shows table TB6 which described the manifestation degree of the object. It is a flowchart which shows another example (Embodiment 2) of the processing operation of CPU according to an advertisement effect measurement program. FIG. 6 is a functional block diagram of a second embodiment. It is a flowchart which shows another example (Embodiment 3) of the processing operation of CPU according to an advertisement effect measurement program. FIG. 10 is a functional block diagram of a third embodiment. It is a flowchart which shows another example (Embodiment 4) of the processing operation of CPU according to an advertisement effect measurement program. FIG. 10 is a functional block diagram of a fourth embodiment. It is a figure which shows table TB7 used when replacing the revealing degree (viewing rate) of a content with a point.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Advertisement effect measuring apparatus, 1A ... CPU, 1B ... RAM, 1C ... ROM, 1E, 1F ... Interface, 1G ... Display, 1H ... Keyboard, 1J ... Mouse, 1-1 ... Content ID input part, 1-2 ... Object ID input unit, 1-3 ... segment data search unit, 1-4 ... segment time length calculation unit, 1-5 ... segment time length integration unit, 1-6 ... output unit, 1-7 ... segment data storage unit, 1-8... Segment time length calculation and object manifestation level reflection unit, 1-9... Content manifestation level input unit, 1-10... Content manifestation level reflection unit, TB1 to TB7.

Claims (9)

Specifying the content to be provided to the user and the advertising target;
An advertisement effect measuring method comprising: calculating an advertisement effect calculating step of calculating a degree of appearance of the specified advertisement object in the specified content as an advertisement effect of the advertisement object. In the advertising effectiveness measuring method according to claim 1,
The advertising effect calculation step includes:
An advertisement effect measuring method, comprising: a step of reflecting an actual degree when the designated advertisement object appears in the designated content when calculating the advertisement effect of the advertisement object. In the advertising effectiveness measuring method according to claim 1 or 2,
The advertising effect calculation step includes:
A method for measuring an advertising effect, comprising: a step of reflecting an actual degree when the specified content is provided to a user when calculating the advertising effect of the advertising target. Means for specifying the content to be provided to the user and the advertising target;
An advertisement effect measuring device comprising: advertisement effect calculating means for calculating a degree of appearance of the specified advertisement target in the specified content as an advertisement effect of the advertisement target. In the advertising effectiveness measuring device according to claim 4,
The advertising effect calculation means includes:
An advertisement effect measuring apparatus, comprising: means for reflecting the degree of manifestation when the designated advertisement object appears in the designated content when calculating the advertisement effect of the advertisement object. In the advertising effectiveness measuring device according to claim 4 or 5,
The advertising effect calculation means includes:
An advertisement effect measuring apparatus, comprising: means for reflecting an actual degree when the designated content is provided to a user when calculating the advertisement effect of the advertisement target. On the computer,
Processing to specify the content to be provided to the user and the advertising target;
An advertisement effect measurement program for realizing an advertisement effect calculation process for calculating a degree of appearance of the specified advertisement object in the specified content as an advertisement effect of the advertisement object. In the advertising effectiveness measurement program according to claim 7,
The advertising effect calculation process includes:
An advertisement effect measurement program characterized by including a process of reflecting an actual degree when the designated advertisement object appears in the designated content when calculating the advertisement effect of the advertisement object. In the advertising effectiveness measurement program according to claim 7 or 8,
The advertising effect calculation process includes:
An advertisement effect measurement program characterized by including a process of reflecting an actual degree when the designated content is provided to a user when calculating the advertisement effect of the advertisement target.

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