Compressed video bitstreams are very sensitive to transmission errors. If we lose packets or receive them with errors during transmission, not only the current frame will be corrupted, but also errors will propagate to succeeding frames. Therefore, we need various mechanisms to protect data and reduce the effects of transmission errors. Error concealment is a data recovery technique that enables the decoder to conceal the effects of transmission errors by predicting the lost or corrupted video data from the previously reconstructed error free information. Motion vector recovery and motion compensation with the estimated motion vector is a good approach to conceal the corrupted macroblock data. In this paper, we show that it is reasonable to use the estimated motion vector to conceal the lost macroblock by providing macroblock distortion models. After we propose a new motion vector recovery algorithm based on optical flow fields, we compare its performance to those of conventional error concealment methods.

This paper presents a novel method of an on-sensor motion vector estimation. One of the key techniques is an iterative block matching algorithm using high-speed interpolated pictures. This technique allows us to estimate the video-rate (30 frame/s) motion vectors accurately from the motion vectors obtained at high-speed frames. The proposed iterative block matching reduces the computational complexity by a factor of more than one tenth compared to the conventional full search block matching algorithm. This property is particularly useful for the reduction of the power dissipation of video encoder. Another proposed technique is a high-speed non-destructive image sensing. This technique is essential to obtain high-speed interpolated pictures while maintaining high image quality in video-rate image sensing. The estimated power dissipation of the designed CMOS image sensor is sufficiently low, allowing us to achieve a totally low-power design of one-chip CMOS cameras integrating an image sensor and a video encoder.