Dissolve Detection Using Intensity Change Information of Edge Pixels

• Published in: IEICE Transactions on Information and Systems Vol. E91.D; no. 1; pp. 153 - 157
• Main Authors: KWON, Chul-Hyun, HAN, Doo-Jin, KIM, Hyun-Sool, LEE, Myung-Ho, PARK, Sang-Hui
• Format: Journal Article
• Language: English
• Published: Oxford The Institute of Electronics, Information and Communication Engineers 01.01.2008; Oxford University Press
• Subjects: Applied sciences; Coding, codes; dissolve detection; Exact sciences and technology; Image processing; Information theory; Information, signal and communications theory; Pattern recognition; shot transition detection; Signal and communications theory; Signal processing; Telecommunications and information theory; Video coding; Signal compression; Image processing; Data compression; Information retrieval; shot transition detection; Image compression; Algorithm; Shape detection; Information browsing; Video signal processing; Image coding; Image sequence; dissolve detection; Localization; Sequence analysis; Edge detection; Indexing
• ISSN: 0916-8532; 1745-1361
• DOI: 10.1093/ietisy/e91-d.1.153

Shot transition detection is a core technology in video browsing, indexing systems and information retrieval. In this paper we propose a dissolve detection algorithm using the characteristics of edge in MPEG compressed video. Using the intensity change information of edge pixels obtained by Sobel edge detector, we detect the location of a dissolve and its precise duration. We also present a new reliable method to eliminate the false dissolves. The proposed algorithm is tested in various types of videos, and the experimental results show that the proposed algorithm is effective and robust.