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The Research of Content Based Video Retrieval Technique

Author: JiLiZuo
Tutor: PanGuangZhen
School: University of North
Course: Applied Computer Technology
Keywords: Video Retrieval Shot boundary detection Keyframe Mutual information
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 133
Quote: 1
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Abstract


With the information technology, the rapid development of computer network technology , as well as extensive application of multimedia technology , the video information in large numbers, such a wealth of information on how to quickly and accurately retrieve the required information is vital. In this situation, the content-based video retrieval technology (content-based video retrieval CBVR) developed rapidly. Firstly, on the basis that the video retrieval image retrieval in-depth analysis . This paper focuses on color-based image retrieval method based on texture image retrieval method for a detailed analysis and research. A brief introduction to the idea of ??other retrieval methods . And the use of color-based and texture-based method to retrieve the image . Secondly , the paper shot boundary detection algorithm for in-depth study . Shot segmentation is the first step for video processing , this paper analyzes the common classic scene segmentation method , focus on the shot segmentation based on mutual information method . In the analysis of the lens based on mutual information detection algorithm based on gradient for flash and motion effects , we propose a histogram-based mutual information and gradient lenses LOG operator detection algorithm. Experiment , through several different types of video shot boundary detection , and with the proposed algorithms compared to test shot boundary detection algorithm in the detection results. Finally , the paper keyframe extraction technology made ??a thorough research . A brief analysis of the current common key frame extraction algorithm, combined shot boundary detection using mutual information ideas , this paper proposes an approach based on mutual information image block key frame extraction algorithm. Experimental results show that the use of this key frame extraction algorithm can be more accurately reflect the content of the lens .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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