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The volume of video data is increasing because of advanced technology in imaging communication. This tends to increase the popularity the videos. The conventional textual description which is based on text entered by user, so, suffers from user perception. Hence, content based video retrieval is more attractive than text based retrieval, as it gives result proximity to semantic view. Here, a novel colour content based video retrieval based on block truncation coding is proposed with the help of seven assorted colour spaces. Video database of 500 video samples spread across 10 categories is considered as a test bed for experimentation. Performance comparison is done with the help of cross-over point of average precision and average recall values of 500 query videos fired on the whole database. Experimental results have shown performance improvement for video retrieval in chromaticityluminance colour spaces as compared conventional colour space (RGB). The best performance is observed by Block Truncation Coding withKekre’s LUV colour space followed by YCbCr colour space. General Terms Content Based Video Retrieval (CBVR), Feature Extraction, Color Spaces, Block Truncation Coding (BTC)

Color Content based Video Retrieval using Block Truncation Coding with Different Color Spaces