International Transaction of Electrical and Computer Engineers System. 2014, 2(3), 107-113DOI:
Abstract: In this paper, We have focused on the development and implementation of novel low computational cost motion estimation(ME) algorithm for video coding based on H.265/HEVC standard. Through this algorithm, new ideas are explored for potentially improving the standard. High-Efficiency Video Coding (HEVC) is a new video compression standard currently being standardized by the JCTVC (Joint Collaborative Team on Video Coding) established by ISO/IEO MPEG and ITU-T. HEVC targets 50% coding gain over AVC/H.264 High Profile. In order to achieve this goal, new tools are being adopted to HEVC. One of the main differences of HEVC from previous video compression standards is the coding tree structure. In this structure, a frame is first divided into CTUs (coding tree units). Then a CTU is further divided into CUs (coding units) in a quad-tree structure. Unless a CU is further divided into four smaller CUs, it is predicted with one of several PU (prediction unit) types. Currently, CTU size can be as large as 64x64 and SCU (smallest CU) can be as small as 8x8. At the encoder side, decisions can be made to support only a subset of these PU types and CU sizes. This will present a trade-off between hardware complexity and coding efficiency. Since motion estimation is one of the most critical blocks in video encoders, trade-offs in motion estimation (ME) block are very important for the overall encoder design. However, it is important to consider the memory cost (in terms of area and data bandwidth) of these tools in hardware. This paper presents HEVC ME using Quarter –pixel accuracy prediction using 8-tap and 7- tap filter for luma interpolation using 2D Logarithmic search and goal is to reduce number of motion vector (MC) to increase compression gain, PSNR and to reduce memory area and data band data bit rate.