In this paper, we address the issue of motion estimation in real video sequences. While the conventional block-matching criteria for motion estimation is based on the assumption that the average values of the target block and reference blocks are identical. This causes performance degradation for motion estimation because average values are time-varying in real video sequences. In order to alle...

Automatic IP (Intellectual Property) matching is a key to reuse of IP cores. This paper presents an IP matching algorithm that can check whether a given programmable IP block can be adapted to match a given specification. When such adaptation is possible, the algorithm also generates a device driver to adapt the IP block. Though simulation, refinement and bisimulation based algorithms exist, th...

| This paper presents a new VLSI architecture of the Motion Estimation in MPEG-2. Previously , a number of full search block matching algorithms (BMA) and architectures using systolic array have been proposed for motion estimation. However, the architectures have an ineeciently large number of external memory access. Recently, to reduce the number of accesses in one candidate block, a block mat...

The H.264 standard allows each macroblock to have up to sixteen motion vectors, four reference frames, and a macroblock mode. Exploiting this feature, we present an efficient temporal error concealment algorithm for H.264-coded video. The proposed method turns out to show good performance compared with conventional approaches. key words: temporal error concealment, boundary matching algorithm (...

Block matching is a widely used method for fast motion estimation. Although using a very simple motion model, which does not fit most real world video material, many motion compensating video compression algorithms use block matching because of its speed. Applications based on true motion vector estimates often use an optical flow algorithm because of their higher need for accuracy at the expen...

Motion estimation is a key problem in video processing and computer vision. Optical flow motion estimation can achieve high estimation accuracy when motion vector is small. Three-step search algorithm can handle large motion vector but not very accurate. A joint algorithm was proposed in this paper to achieve high estimation accuracy disregarding whether the motion vector is small or large, and...