Title :
Automated threshold selection for the detection of dissolves in MPEG video
Author :
Boccignone, G. ; De Santo, M. ; Percannella, G.
Author_Institution :
Dipt. di Ingegneria dell´´Inf. e Ingegneria Elettrica, Salerno Univ., Italy
Abstract :
We show how the use of an automatic threshold selection technique can improve some critical video parsing operations. To this end, in the framework of an information theoretic approach, we propose a technique based on entropy maximization. We also present an algorithm for detecting dissolves in MPEG compressed videos, which demonstrates the reliability of the proposed technique. Experimental results are provided and discussed
Keywords :
data compression; database indexing; entropy; image recognition; threshold logic; video coding; video databases; MPEG video; automated threshold selection; camera shots; detection of dissolves; entropy maximization; information theoretic approach; video indexing; video parsing; Cameras; Discrete cosine transforms; Entropy; Gunshot detection systems; Histograms; Indexing; Layout; Transform coding; Video compression; Video recording;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871060