Paper Info
Title
Fade-in and fade-out detection in video sequences using histograms
Abstract
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 [I-81. 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 computational computations.
Year
DOI
Venue
2000
10.1109/ISCAS.2000.858850
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium
Keywords
Field
DocType
data compression,feature extraction,image sequences,multimedia databases,video databases,compressed video,fade-in detection,fade-out detection,fast retrieval,histograms,indexing,luminance histogram,scene analysis,scene change detection algorithms,uncompressed video,video sequences
Computer vision,Video processing,Change detection,Computer science,Multiview Video Coding,Video tracking,Artificial intelligence,Data compression,Video denoising,Video compression picture types,Uncompressed video
Conference
Volume
ISBN
Citations 
4
0-7803-5482-6
9
PageRank 
References 
Authors
0.66
8
3
Name
Order
Citations
PageRank
W. Anil C. Fernando127023.81
Canagararajah, C.N.290.66
David R. Bull31736189.86