DocumentCode
1616730
Title
Region feature based similarity searching of semantic video objects
Author
Di Zhong ; Shih-Fu Chang
Author_Institution
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
Volume
2
fYear
1999
Firstpage
111
Abstract
New video representations based on semantic objects (e.g., MPEG-4) provide great potential for content-based video searching. In this paper we present an efficient query model for similarity searching of video objects based on localized region features and spatial-temporal structures. The query model is barred on an existing framework on region-level video query, but addresses several new issues like right spatio-temporal relationships effective performance of the proposed approach.
Keywords
content-based retrieval; video databases; content-based video searching; query model; semantic video objects; similarity searching; video representations; Content based retrieval; Feature extraction; HDTV; Image retrieval; Libraries; MPEG 4 Standard; Motion measurement; Object segmentation; Query processing; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.822865
Filename
822865
Link To Document