Content based video retrieval scheme using halftone block truncation coding

Evolutions in image-data processing is rapidly changing from text-based retrieval systems to video retrieval which is created on content based systems due to its eminent demand in digital market and that can be possible only due to available multimedia data types and available bandwidth. In proposed method of Content Based Video Retrieval (CBVR) the Ordered-Dither Block Truncation Coding (ODBTC) technique is employed which generates appropriate image contents. Combinations of Void-and-cluster half-toning and Block Truncation Coding (BTC) offers low complexity in algorithm and provides better video image quality. Dither array Look-Up-Table (LUT) is a distinctive feature of ODBTC which reduces the difficulties by providing look up values of segmented blocks. ODBTC encoded streams are used for generation of two distinct features including of color features namely Color Co-occurrence Feature (CCF) and Bit Pattern Features (BPF). After quantizing and bit-mapping from ODBTC encoder, BPF is obtained by LUT. In the presented system, CBVR is achieved by Block Truncation (BT) of expected video information to be retrieved. Proposed system provides good remedy for CBVR for large digital video-data processing in the fields of Image and Video Processing.