WO2012140834A1

WO2012140834A1 - Information processing device

Info

Publication number: WO2012140834A1
Application number: PCT/JP2012/001806
Authority: WO
Inventors: 小山　和也; 恒久河又
Original assignee: 日本電気株式会社
Priority date: 2011-04-11
Filing date: 2012-03-15
Publication date: 2012-10-18
Also published as: JPWO2012140834A1

Abstract

This information processing device is provided with: an engine information storage unit for storing engine information set for individual analysis engines, the engine information including time width information representing the time width of input data necessary for an analysis process by the analysis engine; an engine controller for inputting input data into the analysis engine and acquiring output data from the analysis engine in accordance with an engine control rule representing a processing procedure in which an analysis engine capable of outputting a result with respect to a predetermined processing request is used; and an accumulation management unit for controlling input data, which is inputted into the analysis engine by the engine controller in accordance with the engine control rule, so as to be held within a range of time width specified by the time width information included in the engine information for the analysis engine.

Description

Information processing device

The present invention relates to an information processing apparatus, and more particularly to an information processing apparatus that manages analysis processing performed using an analysis engine.

In recent years, with the development of information processing technology, analysis engines that perform analysis processing on various data have been developed. For example, various analysis engines exist such as generating position information for tracing a human flow line from moving image data, specifying a person from still image data, and generating text data from audio data.

The analysis engine as described above sets the analysis target as media data such as image data and audio data. However, analysis processing such as monitoring and search for such media data can be performed by using a related database. Unlike structural data, it is difficult. For example, media data has a large gap with conditions requested by users, and it is difficult to describe conditions and process them.

In such a situation, analysis processing such as search for media data may be performed by a method of adding meta information to the media data and performing a search using conditions for the metadata. There is also a method in which media data is used as a search condition itself when searching for media data. For example, as shown in Patent Document 1, a search target similar image is searched from a video to be analyzed.

JP 2010-257449 A

On the other hand, each analysis engine has different information such as features used in the analysis process depending on the requirements for the analysis target data. For this reason, in order to respond to various requests, it is necessary to save all input data to the analysis engine and perform analysis processing using necessary input data according to the request. However, if all of the input data is stored so as to correspond to any analysis engine, there arises a problem that the processing load and storage cost according to the request increase.

Therefore, an object of the present invention is to provide an information processing apparatus that improves the versatility of the analysis engine used for the analysis processing, which is the above-described problem, and suppresses the data storage cost.

An information processing apparatus according to one aspect of the present invention
An engine information storage unit that stores engine information including time width information that is set in advance for each analysis engine and represents the time width of input data necessary for analysis processing by the analysis engine;
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a predetermined processing request When,
Control that the engine control unit holds input data input to the analysis engine according to the engine control rule within a range of time width specified by the time width information included in the engine information of the analysis engine. An accumulation management unit to
It has the structure of having.

An information processing apparatus according to another aspect of the present invention
An engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine that is set in advance for each analysis engine,
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule generating means for setting an accumulation rule that represents a time width of the input data that holds the input data input to the analysis engine is set based on the engine information.
The configuration is as follows.

Moreover, the program which is the other form of this invention is:
An information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a predetermined processing request When,
Control that the engine control unit holds input data input to the analysis engine according to the engine control rule within a range of time width specified by the time width information included in the engine information of the analysis engine. An accumulation management unit to
It is a program for realizing.

Moreover, the program which is the other form of this invention is:
An information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule generating means for setting an accumulation rule representing a time width of the input data to hold the input data input to the analysis engine based on the engine information;
It is a program for realizing.

In addition, an information processing method according to another aspect of the present invention includes:
In an information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
Input of input data to the analysis engine and acquisition of output data from the analysis engine according to an engine control rule representing a processing procedure using the analysis engine in which the engine control unit can output a result for a predetermined processing request As well as
The accumulation management unit has input data that the engine control unit inputs to the analysis engine in accordance with the engine control rule within a time width range specified by the time width information included in the engine information of the analysis engine. It takes the structure of controlling to hold.

In addition, an information processing method according to another aspect of the present invention includes:
In an information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule that represents a time width of the input data that holds the input data input to the analysis engine is set based on the engine information.
The configuration is as follows.

The present invention, which is configured as described above, can improve the versatility of the analysis engine used for the analysis processing and can suppress the data storage cost.

It is a functional block diagram which shows the structure of the data management apparatus in Embodiment 1 of this invention. It is a figure which shows an example of the engine information memorize | stored in the data management apparatus disclosed in FIG. It is a figure which shows an example of the engine control rule produced | generated with the data management apparatus disclosed in FIG. 3 is a flowchart illustrating an operation of the data management device disclosed in FIG. 1. It is a functional block diagram which shows the other structure of a data management apparatus. It is a block diagram which shows the structure of the information processing apparatus in attachment 1 of this invention. It is a block diagram which shows the structure of the information processing apparatus in attachment 7 of this invention.

A first embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a diagram illustrating a configuration of a data management apparatus, and FIG. 2 is a diagram illustrating an example of engine information. FIG. 3 is a diagram illustrating an example of the engine control rule, and FIG. 4 is a diagram illustrating the operation of the data management device. FIG. 5 is a diagram illustrating another configuration of the data management apparatus.

[Constitution]
As shown in FIG. 1, the information processing system according to the present invention includes a plurality of

analysis engines

31, 32, 33, an application 4 installed in the information processing apparatus, and data connected to the plurality of analysis engines and the information processing apparatus. And a management device 1.

The

analysis engines

31, 32, and 33 are information processing apparatuses that perform analysis processing on analysis target data. For example, media data such as moving image data, still image data, and audio data is analyzed as analysis target data. I do. For example, a person extraction engine that extracts a person image showing a person from image data, a face recognition engine that recognizes a person's face from image data or person image data, and a position where human flow lines are traced from image data There is a flow line extraction engine that generates information. However, the

analysis engines

31, 32, and 33 are not limited to those that perform the above-described analysis processing, and the number thereof is not limited to three as shown in FIG.

The application 4 is implemented in an information processing apparatus connected to the data management apparatus 1, and has a function of requesting the data management apparatus 1 for an analysis result using the analysis processing by the

analysis engines

31, 32, and 33 described above. Have. In the present embodiment, the processing request requested from the application 4 to the data management apparatus 1 is a monitoring request for searching or monitoring a specific person from video data that is analysis target data, for example.

As an example of a monitoring request, “Notify when a face similar to the input photo appears in the monitoring video”, “If a person with a face similar to the input photo appears in the monitoring video, notify the action history of the person” , “Notify me when a face, clothes, gender, or a person with luggage appears in the surveillance video.”

Further, the application 4 acquires the results analyzed by the

analysis engines

31, 32, and 33 from the data management device 1 in response to the processing request described above.

Next, the data management device 1 will be described. The data management device 1 is an information processing device including an arithmetic device and a storage device. As shown in FIG. 1, the data management device 1 is constructed by incorporating a program into an arithmetic device, and includes a monitoring request reception unit 11, an engine control unit 12, an engine control rule management unit 13, and an analysis data management unit. 14, an analysis data monitoring unit 15, a similarity determination rule management unit 16, a monitoring result transmission unit 17, a media data management unit 18, and a rule generation unit 20. The rule generation unit 20 includes an engine information management unit 21, an engine control rule generation unit 22, an accumulation rule generation unit 23, and a monitoring rule generation unit 24. Hereinafter, each configuration will be described in detail.

The engine information management unit 21 (engine information storage unit) stores and manages engine information preset for each analysis engine in a storage device. The engine information includes an input data format (characteristic information) that represents the data format of input data that can be input to the analysis engine, an output data format (characteristic information) that represents the data format of output data that is an analysis result by the analysis engine, and And time width information representing the time width of the input data required for the analysis processing by the analysis engine.

Here, the “input data format” is, for example, information indicating the data type of the input data to be analyzed by the analysis engine, and has values such as “video” and “person video” as an example. The “output data type” is information representing the data type of output data which is an analysis result by the analysis engine, for example. As an example of this output data format, if the analysis engine analyzes the gender of the person shown in the video data, the value is “gender”, or the person that the analysis engine shows in the video data In the case of analyzing the feature amount of the face, the value is “face feature amount”.

In addition, the “time width information” is a value that represents the amount of data along the time series of input data necessary for performing analysis processing by the analysis engine. As an example of this time width information, when the analysis target data is video data, it is “number of frames” or “video time”.

Fig. 2 shows an example of engine information. When the analysis engine is an “image face recognition engine” for recognizing a human face from image data, the input data format is “image”, the output data format is “face feature amount”, and the input data time width is “1 frame”. ". When the analysis engine is a “video face recognition engine” for recognizing a human face from video data, the input data format is “human video”, the output data format is “face feature value”, and the input data time width is “3”. The value is “frame”. When the analysis engine is a “person extraction engine” that extracts a person from video data, the input data format is “video”, the output data format is “person video”, and the input data time width is “5 frames”. Value. If the analysis engine is a “flow line extraction engine” that recognizes the flow line of a person from video data, the input data format is “human video”, the output data format is “human flow line”, and the input data time width is “ The value is “10 frames”.

The engine information described above may include data representing other characteristics of the analysis engine for each analysis engine, and may be information that can be referred to when generating an engine control rule, as will be described later.

The engine control rule generation unit 22 (engine control rule generation means) performs an analysis process corresponding to the process request received from the application 4 and outputs a result corresponding to the process request. An engine control rule representing a processing procedure using 32 and 33 is generated. Specifically, the engine control rule generation unit 22 firstly, from the content of the processing request, necessary input data, output data representing the requested result itself, or output data necessary for deriving the requested result, Is identified. Then, an analysis engine in which the data format of the specified input data and output data is set is selected with reference to the engine information described above.

However, if the output data necessary for the result corresponding to the processing request cannot be obtained from one analysis engine, a plurality of analysis engines are selected to connect the plurality of analysis engines and output the necessary output data. . In this case, the engine control rule generation unit 22 selects one analysis engine that can input the input data specified from the processing request, and another analysis engine that uses the output data of this one analysis engine as input data. Is selected. The output data from the other analysis engine only needs to be output data required in response to the processing request. If not, the output data from the other analysis engine is further input to the input data. Another analysis engine is selected. Then, a combination of a plurality of analysis engines that can finally obtain output data corresponding to the processing request is selected, and an engine control rule that is a processing procedure connecting these plurality of analysis engines is generated.

Here, an example of engine control rule generation by the engine control rule generation unit 22 will be described with reference to FIG. For example, it is assumed that the monitoring request, which is a processing request from the application 4, has the content that “if a person with a face similar to the input photo appears in the monitoring video, the action history of that person is notified”. In this case, first, it is necessary to analyze (A) the person's face in the input photograph and (B) analyze the person's face and the person's flow line in the monitoring video. Note that the similarity determination between the face of the person in the monitoring video and the face of the person in the input photograph is performed by the analysis data monitoring unit 15 without using an analysis engine as will be described later.

The engine control rule corresponding to the above (A) specifies “image” as the input data format because the input data is “input photograph”, and as the output data format because the output data is “person's face”. The “face feature amount” is specified. Then, the analysis engine in which the input data format and the output data format are set is selected from the engine information as shown in FIG. Thereby, an engine control rule of a processing procedure using the “image face recognition engine” as shown in FIG.

Also, the engine control rule corresponding to the above (B) specifies “video” as the input data format because the input data is “monitoring video”. On the other hand, since the output data is “person's face” and “person's flow line”, two output data formats, “face feature value” and “person flow line”, are specified. Then, the analysis engine in which the input data format and the output data format are set is selected from the engine information as shown in FIG. 2, and from the “video” as the input data format to the “face feature value” as the output data format. There is no analysis engine that can directly analyze the "person flow" and the analysis engine whose input data format is "video", and the analysis engine whose output data format is "facial feature" and "human flow" Each candidate is selected.

Then, there is a “person extraction engine” as an analysis engine whose input data format is “video”, and its output data format is “human video”. Then, there are “Video Face Recognition Engine” and “Flow Line Extraction Engine” with “Human Video”, which is the output data format of “Human Extraction Engine”, as input data formats. "And" personal flow line ". Therefore, as shown in FIG. 3A, first, the “monitor video” is analyzed by the “person extraction engine” to output the “person video”, and each “person video” is converted to the “video face recognition engine”. And “flow line extraction engine” are input and analyzed, and an engine control rule having a processing procedure of outputting “face feature amount” and “person flow line” can be generated.

The engine control rule described above is not necessarily generated by the data management device 1 (engine control rule generation unit 22). An engine control rule that is manually generated in advance may be registered in the data management device 1. In this case, the registered engine control rule is selected by the engine control unit 12 and the engine control rule management unit 13 as will be described later, and the process for the analysis engine 3 is performed according to the engine control rule.

Also, the accumulation rule generation unit 23 (accumulation rule generation means) sets an accumulation rule that represents the time width of input data required when each analysis engine described above performs analysis processing. Specifically, the accumulation rule generation unit 23 inputs the time width specified by the time width information set for each analysis engine included in the engine information to the analysis engine set in the engine control rule. Set as time span. At this time, when one input data is input to a plurality of analysis engines based on the engine control rule described above, the accumulation rule generation unit 23 sets each time width set for each analysis engine based on the engine information. Among these, the value of the longest time width is set as the accumulation rule.

For example, in the case of the engine control rule described with reference to FIG. 3, first, in the example of FIG. 3A, the analysis engine to be used is one of “image face recognition engine”. Referring to FIG. 4, “1 frame”, which is the time width set in this analysis engine, is set as the accumulation rule. Further, in the first stage of the example of FIG. 3B, the analysis engine to be used is one of the “person extraction engine”, and therefore, with reference to the engine information of FIG. A certain “5 frames” is set as an accumulation rule. On the other hand, in the latter part of FIG. 3B, since there are two analysis engines to be used, “image face recognition engine” and “flow line extraction engine”, each of these analysis engines is referred to with reference to the engine information of FIG. “10 frames”, which is the maximum value of “3 frames” and “10 frames”, which are the time widths set in FIG.

The monitoring rule generation unit 24 generates a rule for outputting a result corresponding to the monitoring request that is a processing request from the application 4 from the data analyzed by the analysis engine. For example, in the case where the monitoring request has the above-described content, “If a person with a face similar to the input photo appears in the monitoring video, the person's action history is notified”, the analysis shown in FIG. A face similar to the “human face in the input photo” that is the analysis processing result shown in FIG. 3A is detected from the “human face in the monitoring video” that is the processing result, and the above-described figure of the detected person A monitoring rule for notifying “person flow line”, which is the analysis processing result shown in FIG.

The monitoring request receiving unit 11 receives a monitoring request that is a processing request input from the application 4 and passes it to the rule generating unit 20.

The engine control unit 12 and the engine control rule management unit 13 input input data and analysis results to the

analysis engines

31, 32, and 33 in accordance with the engine control rules generated by the engine control rule generation unit 22 described above. Is obtained and output to the analysis data management unit 14 or the like. When engine control rules are registered in advance, the registered engine control rules are selected, and processing for each analysis engine 3 is performed according to the engine control rules.

The analysis data management unit 14 (accumulation management unit) manages input data input to each

analysis engine

31, 32, 33 and output output data via the engine control 12 described above. In particular, the analysis data management unit 14 inputs the input data input to each

analysis engine

31, 32, 33 within the time range set by the accumulation rule generated by the accumulation rule generation unit 23 described above. Thus, control is performed so that the data is stored in the storage area installed in the data management device 1.

For example, in the case of the engine control rule described with reference to FIG. 3, first, in the example of FIG. 3A, only the latest “1 frame” of “input photo” input to the “image face recognition engine” is data. It is held in the management device 1. In the example of FIG. 3B, in the previous stage, only the latest “5 frames” of “monitoring video” input to the “person extraction engine” are stored in the data management apparatus 1 and the previous frames are discarded. . Further, in the latter part of FIG. 3B, only the latest “10 frames” are output from the “human face extraction engine” and the “human face video” input to the “video face recognition engine” and the “flow line extraction engine”. It accumulates in the data management device 1 and discards previous frames.

Here, the accumulation of input data will be described with a specific example. Here, it is assumed that the accumulation rule for input data input to the analysis engine is set to “3 frames”. Assume that image data d0, d1, d2, and d3 to be input to the analysis engine arrive in the order of times t0, t1, t2, and t3.

In the above case, first, when image data d0 arrives at the analysis engine, there is no previous accumulated data, so analysis processing is executed with only image data d0, and the processed image data d0 is accumulated according to the accumulation rule. (Accumulated data: d0). Subsequently, when the image data d1 arrives at the analysis engine, analysis processing is executed on the image data d0 and d1 together with the stored image data d0, and the processed image data d1 is stored according to the storage rule ( Accumulated data: d0, d1). Subsequently, when the image data d2 arrives at the analysis engine, the analysis processing is executed in three frames of the image data d0, d1, d2 together with the stored image data d0, d1, and the processed image data d2 is Accumulated according to the accumulation rule. However, when the image data d2 is added, the number of accumulated data (the number of frames) reaches “3”, so the old image data d0 is discarded (accumulated data: d1, d2). Subsequently, when the image data d3 arrives at the analysis engine, recognition is performed on the three frames of the image data d1, d2, d3 together with the stored image data d1, d2, and the processed image data d3 is stored. Accumulated by rules. However, when the image data d3 is added, the number of accumulated data (number of frames) reaches “3”, so the old image data d1 is discarded (accumulated data: d2, d3).

The analysis data management unit 14 accumulates input data to the analysis engine based on the accumulation rule generated by the accumulation rule generation unit 23, but analyzes the engine information as shown in FIG. The data management unit 14 may directly refer to the information on the time width set for each analysis engine, and the input data may be accumulated as described above based on the time width.

Further, the analysis data monitoring unit 15 monitors the output data from each

analysis engine

31, 32, 33 in accordance with the monitoring rules generated by the monitoring rule generation unit 24 described above. For example, in the above-described example, a monitoring process is performed in which a face similar to “a person's face in the input photo” is detected from “a person's face in the monitoring video” and a “person flow line” of the detected person is notified. . At this time, the process of detecting a face similar to the “face of the person in the input photo” from the “face of the person in the monitoring video” compares each “face feature amount” output from each analysis engine and determines the similarity. It is determined whether or not they are similar according to a similarity determination rule set in advance in the rule management unit 16, and a face similar to the face of the input photo is detected from the monitoring video.

Then, the analysis data monitoring unit 15 outputs a result corresponding to the monitoring request from the application 4 to the monitoring result transmission unit 17. Accordingly, the monitoring result transmission unit 17 transmits the monitoring result output from the analysis data monitoring unit 15 to the application 4.

Further, the media data management unit 18 performs management such as inputting a monitoring image to be monitored and an input image input together with a monitoring request from the application 4 to each analysis engine via the engine control unit 12.

[Operation]
Next, the operation of the data management apparatus 1 described above will be described with reference to the flowchart of FIG. First, when a monitoring request is input from the application 4, the data management apparatus 1 receives it at the monitoring request reception unit 11 (step S <b> 1) and passes it to the rule generation unit 20.

The rule generation unit 20 generates an engine control rule that is a processing procedure capable of outputting a result corresponding to the received monitoring request with reference to the engine information in the engine control rule generation unit 22 (step S2). . Further, the accumulation rule generation unit 23 refers to the engine information, and generates an accumulation rule for input data to each analysis engine included in the generated engine control rule (step S3). Further, the monitoring rule generation unit 24 generates a monitoring rule that outputs a monitoring result corresponding to the received monitoring request, using the analysis result of the analysis engine (step S4).

Thereafter, the data management apparatus 1 performs analysis processing on the monitoring video according to the engine control rule and the accumulation rule, and performs monitoring processing on the analysis result according to the monitoring rule (step S4). That is, the data management device 1 inputs input data to a specific analysis engine according to the processing procedure represented by the engine control rule, and receives the analysis result. At this time, the data management device 1 controls the amount of input data retained for each analysis engine according to the accumulation rule, and does not retain input data exceeding the range set in the accumulation rule. Then, the monitoring result output by the analysis and monitoring process is output to the application 4.

In the above, the data management device 1 includes the engine control unit 12, the analysis data management unit 14 and the like, and performs analysis processing and monitoring processing on the monitoring video according to the generated engine control rules, accumulation rules, and the like. Functions for performing analysis processing and management processing, such as the engine control unit 12 and the analysis data management unit 14, may be provided in another information processing apparatus. That is, the data management device 1 may have only the rule generation unit 20 and may be equipped with only a function for generating engine control rules, accumulation rules, and monitoring rules.

Since the present invention is configured as described above, the application 4 does not need to understand how to use each analysis engine, and can obtain a desired monitoring result only by transmitting a processing request. It is possible to improve the general versatility of the system using and the convenience of the user. At this time, the storage of input data suitable for each analysis engine to be used is realized, so that the data storage cost can be suppressed.

Also, when adding an analysis engine, by adding the input data format, output data format, and input data time width of the analysis engine to be added to the engine information as shown in FIG. It can be used to generate accumulation rules.

Note that the data management device 1 according to the present invention may be configured as shown in FIG. The data management device 1 shown in FIG. 5 includes a monitoring state management unit 19 constructed by reading a program into the equipped arithmetic device, and other configurations are the same as those in the first embodiment. The monitoring state management unit 19 changes the engine control rule, the accumulation rule, and the monitoring rule to be used according to the monitoring result by the analysis data monitoring unit 15. Thereby, the contents to be monitored can be changed according to the change in the status of the monitoring video.

For example, if the monitoring request is the above-mentioned content “if a person with a face similar to the input photo appears in the monitoring video, the subsequent action history of the person is notified” (1) “person in the input photo” When a face similar to “the face of the person” is detected from “the face of the person in the monitoring video”, this is a two-stage analysis process of (2) analyzing the “person flow line” of that person. In other words, as the first step, the “person extraction engine” analyzes the “monitoring video” and outputs the “person video”. The “person video” is input to the “video face recognition engine” and the “facial features” An analysis process is performed according to an engine control rule that “amount” is output, and a specific person is detected. When a specific person is detected based on the result of the first stage analysis process, the “person image extraction engine” analyzes the “monitoring video” as the second stage and outputs “person video”. The analysis process is performed by changing the engine control rule that “video” is input to “flow line extraction engine” and “human flow line” is output, and the “human flow line” that is the analysis result is notified. At this time, since the analysis engine to be used is different in accordance with the change of the engine control rule, it is changed to the accumulation rule and the monitoring rule corresponding to each.

By doing as described above, the present invention can cope with analysis processing expressed by various engine control rules, and can improve versatility.

<Appendix>
Part or all of the above-described embodiment can be described as in the following supplementary notes. Hereinafter, the outline of the configuration of the information processing apparatus according to the present invention will be described with reference to FIGS. 6 and 7, and the outline of the configuration of the program and the information processing method of the present invention will be described. However, the present invention is not limited to the following configuration.

(Appendix 1)
An engine information storage unit 101 that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine;
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a predetermined processing request 102,
Control that the engine control unit holds input data input to the analysis engine according to the engine control rule within a range of time width specified by the time width information included in the engine information of the analysis engine. A storage management unit 103 for
An information processing apparatus 100 comprising:

(Appendix 2)
An information processing apparatus according to attachment 1, wherein
When the engine control rule includes a processing procedure in which output data from one analysis engine is input data to another analysis engine, the accumulation management unit outputs the output data from the one analysis engine to the other analysis. As input data of the engine, control is performed so as to be held within the range of the time width specified by the time width information included in the engine information of the other analysis engine.
Information processing device.

(Appendix 3)
An information processing apparatus according to appendix 1 or 2,
The accumulation management unit, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each time included in each engine information corresponding to each of the plurality of analysis engines. Controlling to hold input data to be input to the plurality of analysis engines within the range of the longest time width among the time widths specified by the width information,
Information processing device.

(Appendix 4)
An information processing apparatus according to any one of appendices 1 to 3,
Based on the engine information, comprising an accumulation rule generating means for setting an accumulation rule that represents a time width of input data required for the analysis processing performed by the analysis engine included in the processing procedure represented by the engine control rule,
The accumulation management unit controls to hold input data to be input to the analysis engine within a time range set by the accumulation rule.
Information processing device.

(Appendix 5)
An information processing apparatus according to attachment 3, wherein
Based on the engine information, comprising an accumulation rule generating means for setting an accumulation rule that represents a time width of input data required for the analysis processing performed by the analysis engine included in the processing procedure represented by the engine control rule,
The accumulation rule generating means, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each of the engine information corresponding to each of the plurality of analysis engines Of each time width specified by the time width information, the longest time width is set as the accumulation rule,
The accumulation management unit controls to hold input data to be input to the analysis engine within a time range set by the accumulation rule.
Information processing device.

(Appendix 6)
An information processing apparatus according to any one of appendices 1 to 5,
The engine information stored in the engine information storage unit includes input data characteristic information that can be input to the analysis engine, and output data characteristic information that is an analysis result by the analysis engine,
Based on the engine information, the engine control rule generating means for selecting the analysis engine capable of outputting the result corresponding to the processing request and generating the engine control rule representing the processing procedure using the analysis engine.
Information processing device.

(Appendix 7)
An information processing apparatus according to any one of appendices 1 to 6,
The engine control unit changes the engine control rule to another engine control rule based on output data acquired from the analysis engine according to the engine control rule, and inputs data to the analysis engine according to the other engine control rule. Input and acquisition of output data from the analysis engine,
The accumulation management unit has input data to be input to the analysis engine according to the changed other engine control rule within a time width range specified by time width information included in the engine information of the analysis engine. Control to hold in,
Information processing device.

(Appendix 8)
The engine information storage unit 201 stores engine information including time width information that is set in advance for each analysis engine and represents the time width of input data necessary for analysis processing by the analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule generating unit 202 configured to set an accumulation rule representing a time width of the input data holding the input data input to the analysis engine based on the engine information;
Information processing apparatus 200.

(Appendix 9)
An information processing apparatus according to appendix 8, wherein
The accumulation rule generating means, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each of the engine information corresponding to each of the plurality of analysis engines Of each time width specified by the time width information, the longest time width is set as the accumulation rule.
Information processing device.

(Appendix 10)
An information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a predetermined processing request When,
Control that the engine control unit holds input data input to the analysis engine according to the engine control rule within a range of time width specified by the time width information included in the engine information of the analysis engine. An accumulation management unit to
A program to realize

(Appendix 11)
The program according to attachment 10, wherein
The accumulation management unit, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each time included in each engine information corresponding to each of the plurality of analysis engines. Controlling to hold input data to be input to the plurality of analysis engines within the range of the longest time width among the time widths specified by the width information,
A program to make things happen.

(Appendix 12)
An information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule generating means for setting an accumulation rule representing a time width of the input data to hold the input data input to the analysis engine based on the engine information;
A program to realize

(Appendix 13)
The program according to attachment 12, wherein
The accumulation rule generating means, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each of the engine information corresponding to each of the plurality of analysis engines Of each time width specified by the time width information, the longest time width is set as the accumulation rule.
A program to make things happen.

(Appendix 14)
In an information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
Input of input data to the analysis engine and acquisition of output data from the analysis engine according to an engine control rule representing a processing procedure using the analysis engine in which the engine control unit can output a result for a predetermined processing request As well as
The accumulation management unit has input data that the engine control unit inputs to the analysis engine in accordance with the engine control rule within a time width range specified by the time width information included in the engine information of the analysis engine. Information processing method for controlling to hold in

(Appendix 15)
The information processing method according to attachment 14, wherein
Each of the times included in each of the engine information corresponding to each of the plurality of analysis engines when the accumulation management unit includes a processing procedure for inputting the same input data to the plurality of analysis engines in the engine control rule. Controlling to hold input data to be input to the plurality of analysis engines within the range of the longest time width among the time widths specified by the width information,
Information management method.

(Appendix 16)
In an information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule that represents a time width of the input data that holds the input data input to the analysis engine is set based on the engine information.
Information processing method.

(Appendix 17)
The information processing method according to attachment 16, wherein
When the engine control rule includes a processing procedure for inputting the same input data to a plurality of analysis engines, it is specified by each time width information included in each engine information corresponding to each of the plurality of analysis engines. The longest time width among the time widths to be set as the accumulation rule,
Information processing method.

In each of the above embodiments, the program is stored in a storage device or recorded on a computer-readable recording medium. For example, the recording medium is a portable medium such as a flexible disk, an optical disk, a magneto-optical disk, and a semiconductor memory.

Although the present invention has been described with reference to the above embodiments, the present invention is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

The present invention enjoys the benefit of the priority claim based on the patent application of Japanese Patent Application No. 2011-086940 filed on April 11, 2011 in Japan, and is described in the patent application. The contents are all included in this specification.

DESCRIPTION OF SYMBOLS 1 Data management apparatus 11 Monitoring request reception part 12 Engine control part 13 Engine control rule management part 14 Analysis data management part 15 Analysis data monitoring part 16 Similarity determination rule management part 17 Monitoring result transmission part 18 Media data management part 19 Monitoring state management Unit 20 Rule generation unit 21 Engine information management unit 22 Engine control rule generation unit 23 Accumulation rule generation unit 24 Monitoring

rule generation unit

31, 32, 33 Analysis engine 4

Application

100, 200

Information processing device

101, 201 Engine information storage unit 102 Engine Control unit 103 Accumulation management unit 202 Accumulation rule generation unit

Claims

An engine information storage unit that stores engine information including time width information that is set in advance for each analysis engine and represents the time width of input data necessary for analysis processing by the analysis engine;
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a predetermined processing request When,
Control that the engine control unit holds input data input to the analysis engine according to the engine control rule within a range of time width specified by the time width information included in the engine information of the analysis engine. An accumulation management unit to
An information processing apparatus comprising:
The information processing apparatus according to claim 1,
When the engine control rule includes a processing procedure in which output data from one analysis engine is input data to another analysis engine, the accumulation management unit outputs the output data from the one analysis engine to the other analysis. As input data of the engine, control is performed so as to be held within the range of the time width specified by the time width information included in the engine information of the other analysis engine.
Information processing device.
The information processing apparatus according to claim 1 or 2,
The accumulation management unit, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each time included in each engine information corresponding to each of the plurality of analysis engines. Controlling to hold input data to be input to the plurality of analysis engines within the range of the longest time width among the time widths specified by the width information,
Information processing device.
The information processing apparatus according to claim 1,
Based on the engine information, comprising an accumulation rule generating means for setting an accumulation rule that represents a time width of input data required for the analysis processing performed by the analysis engine included in the processing procedure represented by the engine control rule,
The accumulation management unit controls to hold input data to be input to the analysis engine within a time range set by the accumulation rule.
Information processing device.
The information processing apparatus according to claim 3,
Based on the engine information, comprising an accumulation rule generating means for setting an accumulation rule that represents a time width of input data required for the analysis processing performed by the analysis engine included in the processing procedure represented by the engine control rule,
The accumulation rule generating means, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each of the engine information corresponding to each of the plurality of analysis engines Of each time width specified by the time width information, the longest time width is set as the accumulation rule,
The accumulation management unit controls to hold input data to be input to the analysis engine within a time range set by the accumulation rule.
Information processing device.
An information processing apparatus according to any one of claims 1 to 5,
The engine information stored in the engine information storage unit includes input data characteristic information that can be input to the analysis engine, and output data characteristic information that is an analysis result by the analysis engine,
Based on the engine information, the engine control rule generating means for selecting the analysis engine capable of outputting the result corresponding to the processing request and generating the engine control rule representing the processing procedure using the analysis engine.
Information processing device.
An information processing apparatus according to any one of claims 1 to 6,
The engine control unit changes the engine control rule to another engine control rule based on output data acquired from the analysis engine according to the engine control rule, and inputs data to the analysis engine according to the other engine control rule. Input and acquisition of output data from the analysis engine,
The accumulation management unit has input data to be input to the analysis engine according to the changed other engine control rule within a time width range specified by time width information included in the engine information of the analysis engine. Control to hold in,
Information processing device.
An engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine that is set in advance for each analysis engine,
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule generating means for setting an accumulation rule that represents a time width of the input data that holds the input data input to the analysis engine is set based on the engine information.
Information processing device.
The information processing apparatus according to claim 8,
The accumulation rule generating means, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each of the engine information corresponding to each of the plurality of analysis engines Of each time width specified by the time width information, the longest time width is set as the accumulation rule.
Information processing device.
An information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a predetermined processing request When,
Control that the engine control unit holds input data input to the analysis engine according to the engine control rule within a range of time width specified by the time width information included in the engine information of the analysis engine. An accumulation management unit to
A program to realize
The program according to claim 10,
The accumulation management unit, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each time included in each engine information corresponding to each of the plurality of analysis engines. Controlling to hold input data to be input to the plurality of analysis engines within the range of the longest time width among the time widths specified by the width information,
A program to make things happen.
An information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule generating means for setting an accumulation rule representing a time width of the input data to hold the input data input to the analysis engine based on the engine information;
A program to realize
A program according to claim 12,
The accumulation rule generating means, when the engine control rule includes a processing procedure for inputting the same input data to the plurality of analysis engines, each of the engine information corresponding to each of the plurality of analysis engines Of each time width specified by the time width information, the longest time width is set as the accumulation rule.
A program to make things happen.
In an information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
Input of input data to the analysis engine and acquisition of output data from the analysis engine according to an engine control rule representing a processing procedure using the analysis engine in which the engine control unit can output a result for a predetermined processing request As well as
The accumulation management unit has input data that the engine control unit inputs to the analysis engine in accordance with the engine control rule within a time width range specified by the time width information included in the engine information of the analysis engine. Information processing method for controlling to hold in
The information processing method according to claim 14,
Each of the times included in each of the engine information corresponding to each of the plurality of analysis engines when the accumulation management unit includes a processing procedure for inputting the same input data to the plurality of analysis engines in the engine control rule. The engine control unit controls the input data to be input to the plurality of analysis engines within the range of the longest time width among the time widths specified by the width information.
Information management method.
In an information processing apparatus including an engine information storage unit that stores engine information including time width information that represents a time width of input data necessary for analysis processing by the analysis engine, which is set in advance for each analysis engine.
An engine control unit that inputs input data to the analysis engine and acquires output data from the analysis engine according to an engine control rule that represents a processing procedure using the analysis engine that can output a result for a processing request. An accumulation rule that represents a time width of the input data that holds the input data input to the analysis engine is set based on the engine information.
Information processing method.
An information processing method according to claim 16, comprising:
When the engine control rule includes a processing procedure for inputting the same input data to a plurality of analysis engines, it is specified by each time width information included in each engine information corresponding to each of the plurality of analysis engines. The longest time width among the time widths to be set as the accumulation rule,
Information processing method.