Authors : P. Anandhakumar , M. Boopathi Raja and A. Kannan
Abstract: A new approach is proposed for retrieving video sequences from large video databases based on code generated from tree structures of video frames. Video retrieval in a distributed environment faces the challenges of communicating the query to sites and fast retrieval of sequences. Effective representation of query frame is more important in retrieving the video sequence from video databases. For better representation, query frame is hexagonally sampled, which has the advantages of 12-fold symmetry, high packing density, nearly circular in shape and well-behaved connectivity, all of which lead to faster image processing. A Ternary tree is constructed from the hexagonally sampled values. In this study a string of 24 numbers are generated called identification code for each and every frame’s Ternary tree of the video database. The code generated is of size 96 bytes and the code is used to retrieve the video sequence by comparing the code of query frame and database frame in a distributed environment efficiently. Storage requirement for the code is very less compared to the volume of database and the overall accuracy is nearly 100%.
P. Anandhakumar , M. Boopathi Raja and A. Kannan , 2005. Code Based Video Retrieval System in A Distributed Environment . Asian Journal of Information Technology, 4: 614-619.