Image and Video Retrieval: 4th International Conference, CIVR 2005, Singapore, July 20-22, 2005, Proceedings
Wee-Kheng Leow, Michael S. Lew, Tat-Seng Chua, Wei-Ying Ma, Lekha Chaisorn, Erwin M. Bakker
Springer Science & Business Media, 2005 M07 14 - 674 pages
It was our great pleasure to host the 4th International Conference on Image and Video Retrieval (CIVR) at the National University of Singapore on 20–22 July 2005. CIVR aims to provide an international forum for the discussion of research challenges and exchange of ideas among researchers and practitioners in image/video retrieval technologies. It addresses innovative research in the broad ?eld of image and video retrieval. A unique feature of this conference is the high level of participation by researchers from both academia and industry. Another unique feature of CIVR this year was in its format – it o?ered both the traditional oral presentation sessions, as well as the short presentation cum poster sessions. The latter provided an informal alternative forum for animated discussions and exchanges of ideas among the participants. We are pleased to note that interest in CIVR has grown over the years. The number of submissions has steadily increased from 82 in 2002, to 119 in 2003, and 125 in 2004. This year, we received 128 submissions from the international communities:with81(63.3%)fromAsiaandAustralia,25(19.5%)fromEurope, and 22 (17.2%) from North America. After a rigorous review process, 20 papers were accepted for oral presentations, and 42 papers were accepted for poster presentations. In addition to the accepted submitted papers, the program also included 4 invited papers, 1 keynote industrial paper, and 4 invited industrial papers. Altogether, we o?ered a diverse and interesting program, addressing the current interests and future trends in this area.
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algorithm analysis annotation applications approach associated automatic average boundaries CIVR classiﬁcation classifier clips cluster collection color combination compared comparison Computer concepts Conference considered contains content-based image retrieval corresponding database described descriptors detection diﬀerent distance distribution document domain evaluation event example experiments extracted face Figure ﬁrst frames function given histogram IEEE image retrieval improve indexing interactive keywords label learning matching mean measure method movie Multimedia object obtained performance person pixels points positive precision presented probability problem Proc projective proposed query rank recall recognition References region relevance represent representation respectively scenes segmentation selected semantic sequence shape shot shown shows similarity space spatial story structure Table techniques texture topics TRECVID University vector visual weighted