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Video retrieving method based on context space

A contextual and spatial technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as ignoring the co-occurrence of concept objects, and achieve the effect of promoting accuracy

Active Publication Date: 2013-09-04
魏骁勇
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AI Technical Summary

Problems solved by technology

[0002] Semantic concept mining is gradually becoming the mainstream research direction to improve the accuracy of video retrieval, but traditional semantic concept mining mostly detects a single concept, ignoring the objective fact that most concept objects co-occur in videos

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  • Video retrieving method based on context space
  • Video retrieving method based on context space
  • Video retrieving method based on context space

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Embodiment Construction

[0039] The present invention provides a video retrieval method based on context space:

[0040] Given a set of basic concept vocabulary V=[C 1 ,C 2 ,C 3 …C n ].

[0041] The process of constructing the context space:

[0042] In step A1, Agglomerative hierarchical clustering is performed on the basic concept vocabulary set V to form a compact concept set V', which removes the redundancy of the original concept set and enhances the calculation stability of the matrix decomposition in the later stage. It is a refinement of the original concept set.

[0043] Step A2, using the Pearson product-moment as a measure of the correlation between any set of concept pairs in the V' concept set to construct a correlation matrix R. The Pearson product difference coefficient is described as follows:

[0044] PM ( C i , C j ) = ...

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Abstract

The invention provides a video retrieving method based on context space. The video retrieving method includes constructing a concept similarity matrix by analyzing basic concept space objects, then subjecting the concept similarity matrix to spectral factorization to obtain a group of basic concept sets, finally mapping known concepts to space spanned by the group of basic concept sets, and measuring similarity among the concept objects on the space. According to the video retrieving method based on the context space, by means of the way of constructing the concept space, problems of locality, inconsistency and the like caused by measurement standards under traditional ontology concept sets are avoided, so that the measurement standards among the concept objects mapped to the space are uniform and wholly consistent, an effective solution is provided for solving video retrieving problems, relationships of basic abstract conceptions are closer, and accuracy of video retrieval is effectively improved.

Description

technical field [0001] The invention relates to the field of multimedia semantic mining, and proposes a video retrieval method based on context space. Background technique [0002] Semantic concept mining is gradually becoming the mainstream research direction to improve the accuracy of video retrieval. However, traditional semantic concept mining mostly detects a single concept, ignoring the objective fact that most concept objects co-occur in videos. In short, concepts are not independent and unrelated to each other, and they are often closely related in video units. It is the objective fact that conceptual objects are interrelated that provides clues to further mine contextual information to enhance the accuracy of video retrieval. Especially on the premise that some known concept objects exist, under the guidance of context information (concept correlation), some conceptual knowledge that exists objectively but has not been found in traditional semantic concept mining c...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06F17/27
Inventor 魏骁勇杨震群徐浩然孙洋黄劲
Owner 魏骁勇
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