Shot Segmentation Based on the Encoder Signature

摘要

This paper presents a new approach for finding camera shot transitions in the compressed stream of MPEG-1 and MPEG-2 videos. False transitions patterns on the compressed data are considered to be related to the choices made by the encoder, which has the freedom of making several decisions without violating the MPEG-1 and MPEG-2 standards. These choices contaminate the similarity metrics with patterns that are called encoder signatures in this paper. The present work proposes a video segmentation method that filters the encoder signatures, through a step-wise refinement process using multiple similarity metrics. This process is general and can be easily adapted to MPEG-4 videos.