Abstract

Manipulating digital video using desktop computers, especially in uncompressed form, and communicating it over networks can be time-consuming because of it large bandwidth requirements. While the size of a videoframe is large, the amount of new information in each video frame is open quite small. We present an algorithm that predicts those parts of the video image that change from frame to frame. This effectively allows the manipulation of uncom-pressed digital video using common personal computers with no special hardware support. The algorithm uses a statistical technique and takes advantage of locality of change. We show that the algorithm is effective and yet is simple and low-cost.

Citations

15	Statistical Characterization and Block-Based Modeling of Motion-Adaptive Coded Video - Jabbari, Yegenoglu, et al. - 1993
6	Properties of frame-difference signals generated by moving images - Connor, Limb
4	Entropy Measurements for Nonadaptive and Adaptive, Frame-to-Frame, Linear Predictive Coding of Video-Telephone Signals - Haskell - 1975
3	Adaptive Temporal Decimation for Video Compression Algorithms - Olstad - 1993