Abstract

There is an increased need to extract key information automatically from video for the purposes of indexing, fast retrieval, and scene analysis. To support this vision, reliable scene change detection algorithms must be developed. Several algorithms have been proposed for both sudden and gradual scene change detection in uncompressed and compressed video. In this paper we present an algorithm for fade-in and fade-out scene change detection in both uncompressed and compressed video sequences using histograms. We use the properties of the fading operation and extract these features in the luminance histogram. Results show that the proposed algorithm can be used in both uncompressed and compressed video to detect fade regions with a high reliability and less computations.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call