An integrated correlation measure for semantic video segmentation

Abstract

Semantic segmentation is critical in video content analysis and retrieval. We propose an approach to semantic video segmentation by integrating multiple video cues into a generic scheme. We define a consistency measurement of contexts, continuity, which has two components, called cohesion and disjunction. As a result we can treat all the features, both low level features and semantic features, in the same way. At each shot boundary, the continuity measurement gives a confidence of being the boundary between two semantic units. The effectiveness of our approach has been demonstrated by experiments on all kinds of live videos.