Video feeling content identification method based on fuzzy comprehensive evaluation

A technology of fuzzy comprehensive evaluation and content recognition, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as inability to reconstruct, not take into account, and recognition accuracy cannot be satisfied, and achieve high recognition rate , the effect of high recognition accuracy
CN101593273AInactive Publication Date: 2009-12-02BEIJING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING UNIV OF POSTS & TELECOMM
Publication Date
2009-12-02
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention belongs to the field of video content analysis, and in particular relates to a video feeling content identification method based on fuzzy comprehensive evaluation. The prior video feeling content identification method is insufficient in considering the problem of fuzzy attribute of feeling. Aiming at the defects existing in the prior art, the method first uses a fuzzy comprehensive evaluation model in fuzzy theory in the video feeling content identification. Compared with the prior art, the method sufficiently considers the fuzzy attribute of the video feeling content, expresses video clip content by a high-level characteristic vector closely related to feeling based on the fuzzy comprehensive evaluation model, and researches the video feeling content identification in high level; and further, the method adopts an artificial neural network (ANN) to simulate a human feeling response system and identify the video clip to induce basic feeling types generated by audiences. Experiment results verify the effectiveness and feasibility of the method in video feeling content identification.
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Description

technical field

[0001] The invention belongs to the field of video content analysis, in particular to a video emotional content recognition method based on fuzzy comprehensive evaluation. Background technique

[0002] With the development of multimedia technology and network technology, digital video has gradually become the main media form of modern information system. In the massive video data and fast-paced living environment, people have no time or interest to watch all the video files one by one, and often only look for interesting, exciting or scary videos or video clips according to their personal hobbies , these characteristics indicate that people need a personalized emotional video application service technology. Since Professor Picard proposed the concept of "affective computing", video affective content computing has been considered by many scholars as an effective way to realize personalized video service technology (Personalization Service Technology) and shor...

Claims

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