MALSS: Macro Level Subblock Search Algorithm based Video Coding Applications Vidyavathi K.*, Dr. Sabeenian R. S.** *Assistant Professor, King College of Technology, India **Professor & Head, Sona Sipro, India Online published on 15 September, 2016. Abstract The high volume data transmission has various issues like bandwidth occupation, latency and much more. To overcome the difficulty in data transfer, we discuss a Macro Level Subblock Search (MaLSS) algorithm based video compensation technique. The method first splits the video into some frames and for each successive frame, the method computes the macro block matrix. The subblock vector search approach converts the video into some frames and for each frame has its sub-blocks, the method improves the quality by applying histogram equalization. The quality improved frames are transformed into the matrix, and the method computes the deviation in feature to store them in the subblock vector model. Also, the method calculates the variance to store them in the variance matrix. Based on both subblock vector pattern, the method decides whether the entire image has to be transferred or the subblock vector has to be sent. The whole process can be split into three different stages namely preprocessing, subblock vector matrix generation and video compression. Top Keywords Data Transmission, Video Encoding, Macro Level Sub block search, Bandwidth Utilization. Top |