Information induction analysis method and device
An analysis method and technology of data information, applied in the field of IT applications, can solve the problems of low consideration, huge labor costs, long analysis cycle, etc., and achieve the effect of improving extraction efficiency and reducing the scope of screening
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Embodiment 1
[0031] Embodiment 1: a kind of information inductive analysis method, comprises the following steps:
[0032] S1. According to the type of input data information provided by the user, extract feature data from one or more types of data information involved in the input data information, such as text, voice, picture and video, and load and release the corresponding sample model library;
[0033] Specifically, the input data information is text, voice, picture and video, especially, this method can receive network file data and network streaming media data, data format: video and streaming media support AVI, MPEG-1 / 2 / 4. H.263 / 264 / 265, M-JPEG, MP4; audio support: WAV, MP3, PCM; picture support: BMP, JPG / JPEG, Gif, Tiff, PNG, PIC.
[0034] The sample model library includes a text feature library for text analysis, a voiceprint model library and an acoustic and language model library for speech processing, an object body feature model library for image processing and video process...
Embodiment 2
[0051] It is the same as the technical solution of Embodiment 1, the difference is that: in order to facilitate the reading of the results output by the detection engine, it also includes the steps of clustering and compiling similar suspected targets, and displaying them in time order and position information as the main line. Users also Custom compilation conditions can be added to display detection results in a combined manner.
Embodiment 3
[0053] Using the method of embodiment 1 or 2, a kind of information induction analysis device that obtains, comprises
[0054] Loading and releasing the sample model library module, according to the type of input data information provided by the user, extracts feature data from one or more types of data information involved in the input data information, such as text, voice, picture and video, and loads and releases Corresponding sample model library;
[0055] The feature data extraction module dynamically loads the detection engine to track and identify the feature data, and finds the suspected target in the sample model library;
[0056] The suspected target search module dynamically loads the detection engine to track and identify the biometric data to find the suspected target;
[0057] The association module presets association conditions to obtain the association between suspected targets, and determines the similarity of each suspected target;
[0058] The output modu...
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