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Dynamic Threshold in Clip Analysis and Retrieval
Satishkumar L Varma, Sanjay N Talbar
Pages - 417 - 424     |    Revised - 01-09-2011     |    Published - 05-10-2011
Volume - 5   Issue - 4    |    Publication Date - September / October 2011  Table of Contents
Video Clip, Key Frames Extraction, Entropy, Indexing, Retrieval
Key frame extraction can be helpful in video summarization, analysis, indexing, browsing, and retrieval. Clip analysis of key frame sequences is an open research issues. The paper deals with identification and extraction of key frames using dynamic threshold followed by video retrieval. The number of key frames to be extracted for each shot depends on the activity details of the shot. This system uses the statistics of comparison between the successive frames within a level extracted on the basis of color histograms and dynamic threshold. Two program interfaces are linked for clip analysis and video indexing and retrieval using entropy. The results using proposed system on few video sequences are tested and the extracted key frames and retrieved results are shown.
CITED BY (3)  
1 Packialatha, A., & Chandra Sekar, A. (2014). Adept identification of similar videos for web-based video search.
2 Avrithis, Y. (2013). Publication & Citation List.
3 Lavanya, S., Ramakrishnan, S., & Vaithiyanathan, V. (2012). A Novel Compression for Enormous Motion Data in Video Using Repeated Object Clips [ROC].
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Mr. Satishkumar L Varma
Pillai's Instititute of Information Technology - India
Professor Sanjay N Talbar
SGGS IE&T - India

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