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Research on Video Shot Boundary Detection and Key-frame Extraction

Author: ZhaoZuo
Tutor: TianYuMin
School: Xi'an University of Electronic Science and Technology
Course: Computer System Architecture
Keywords: Video Retrieval Joint histogram Shot boundary detection Flash detection Key frame extraction
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 234
Quote: 5
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Abstract


Computer , network technology and digital video technology continues to evolve , so that the rapid growth of video data , how effective organization of a large amount of video data , management and retrieval of the hot topics of the research field of video retrieval . This paper studies the content-based video retrieval of two key technologies : shot boundary detection and key frame extraction technology . First , this paper presents a shot boundary detection algorithm based on joint histogram . The algorithm uses the the adjacent frames interframe joint histogram in the same lens , the degree of symmetry about the diagonal high , while in the lens switching at low characteristics , defining the similarity of adjacent frames , protrude through similarity do differential mutations characteristics, combined with two-way search flash detection method to eliminate the impact of the flash on the mutation detection ; introduce finite automata to improve the robustness of the gradient detection , and detection of mutations and gradient close combination of better detection effect . Secondly , the joint histogram is applied to the key frame extraction joint histogram - based keyframe extraction algorithm . The algorithm utilizes the symmetry of the joint histogram defined interframe dissimilarity degree of dissimilarity of cumulative cumulative curve is generated , the methods of the detection plane curve slope point , the classification of the sequence of video frames , the key frame is extracted from the key class thus extracted key frames having the dynamic characteristics . The experiments show that the algorithm has a higher compression ratio , and extract the key frames represent the video content .

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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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