Title :
Combining motion estimation with feature extraction in MPEG video coders
Author :
Baglietto, P. ; Frisiani, A.L.
Author_Institution :
DIST, Genoa Univ., Italy
Abstract :
General purpose motion estimation algorithms do not exploit the information available about the fixed characteristics of the video sequences in specific application domains. In this paper we propose to take advantage of such information to develop efficient video compression algorithms and we apply the proposed approach to the highway monitoring application domain. The proposed approach allows also extracting selected features at the video compression level and more specifically those features related to object movements
Keywords :
data compression; encoding; feature extraction; motion estimation; video coding; MPEG video coders; application domains; feature extraction; highway monitoring application domain; motion estimation; object movements; video compression algorithms; video compression level; video sequences; Compression algorithms; Electrical capacitance tomography; Feature extraction; MPEG standards; Monitoring; Motion estimation; Road transportation; Transform coding; Video compression; Video sequences;
Conference_Titel :
EUROMICRO Conference, 1999. Proceedings. 25th
Conference_Location :
Milan
Print_ISBN :
0-7695-0321-7
DOI :
10.1109/EURMIC.1999.794804