Video Parsing using compressed data

Parsing video content is an important first step in the video indexing process. This paper presents algorithms to automate the video parsing task, including video partitioning and video clip classification according to camera operations using compressed video data. We have studied and implemented two algorithms for partitioning video data compressed according to the MPEG standard. The first one is based on DCT (Discrete Cosine Transform) coefficients of video frames, and the other based on correlation of motion vectors. Algorithms to detect camera operations using motion vectors are presented.