Search pattern improvement using content based adaptive search in HEVC

Visual communication via mobile devices is becoming more and more popular. Whether we are watching TV, videoclips on social sites like Whatsapp, Facebook, You-Tube or video chatting on Skype to surveillance at critical places or industry, we daily deal with different kinds of videos directly or indirectly. Video has become an integral and an important part of our lives. People watching videos are concerned about its quality and speed. Different compression standards like MPEG-1, MPEG-2, MPEG-4, H.264 reduced size if storage, improved quality of video to a great extent. To deal with growing video traffic, quality and storage requirements, HEVC has been finalized in January 2013. Content based adaptive search is introduced in Test Zone Search algorithm during motion estimation and implemented in HEVC/H.265 standard. Content based adaptive search which is based on concept of Homogeneity Analysis, introduced first time in HEVC which classifies video content according to type of motion present and then applies separate set of search pattern for separate video motion. The proposed algorithm implemented in HEVC/H.265 applied for variety of video resolutions starting from QCIF, CIF to beyond HD videos like FullHD and QuadHD and compared with Test Zone Search and Full Search. The proposed algorithm provides remarkable saving in Total Encoding Time(TET) and Total Motion Estimation Time(TMET) and even higher time savings at higher video resolutions like FullHD, QuadHD without much significant loss in video quality(Y-PSNR) at cost of Bit-Rate(BR).