By Masao Sakauchi (auth.), Hiroshi Arisawa, Tiziana Catarci (eds.)
Video segmentation is the main primary procedure for acceptable index ing and retrieval of video durations. commonly, video streams are composed 1 of photographs delimited by means of actual shot barriers. giant paintings has been performed on the way to observe such shot obstacles instantly (Arman et aI. , 1993) (Zhang et aI. , 1993) (Zhang et aI. , 1995) (Kobla et aI. , 1997). during the inte gration of applied sciences corresponding to snapshot processing, speech/character acceptance and average language knowing, keyword phrases should be extracted and linked to those pictures for indexing (Wactlar et aI. , 1996). A unmarried shot, notwithstanding, hardly ever includes adequate quantity of data to be significant on its own. Usu best friend, it's a semantically significant period that the majority clients have an interest in re trieving. usually, such significant periods span a number of consecutive pictures. There infrequently exists any effective and trustworthy approach, both computerized or guide, to spot all semantically significant periods inside a video flow. Works via (Smith and Davenport, 1992) (Oomoto and Tanaka, 1993) (Weiss et aI. , 1995) (Hjelsvold et aI. , 1996) recommend manually defining all such inter vals within the database prematurely. although, even an hour lengthy video could have an indefinite variety of significant periods. in addition, video information is multi interpretative. as a result, given a question, what's a significant period to an annotator is probably not significant to the consumer who concerns the question. In perform, guide indexing of significant durations is labour in depth and inadequate.
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Extra info for Advances in Visual Information Management: Visual Database Systems. IFIP TC2 WG2.6 Fifth Working Conference on Visual Database Systems May 10–12, 2000, Fukuoka, Japan
Dei, j) is the distance between fs(i) and fT(i). In this paper, it is defined as follows: Content-based Video Retrieval Based on Similarity of Camera Motion 51 The degree of influence on global and local motions can be adjusted by the values of w \, w 2 and w 3. Since pan and zoom operations occur simultaneously, the degree of influence on d pan and dzo om can be varied independently by the value of w \ and w 2. O(k) represents the similarity between a user-specified scene S and a partial section of T bounded by k' and k.
Actors and holders of video data such as museums, news broadcasting companies require search engines to unify the 33 search over their multiple and distinct video repositories. Furthermore, they are required to provide a quality of service (QoS) in terms of high performance and functionality. High-speed networks, such as ATM or Fast Ethernet, allow the transfer of video efficiently, reliably, and economically. Toward The MEdiaSys VIdeo Search Engine (MEVISE) Motivations Architecture and General Architecture Motivations MEVISE Client MEVISE Client " and General Large-scale high-speed network MediaSys Server " MediaSys Server t...
Of Eng. from the University of Tokyo in 1983. He joined KDD in 1962 where he was engaged in the research on satellite communications and computer communications. After serving as the Director of Research Laboratories he was assigned as Professor at NACSIS in 1993. His current research interests include high-speed networking and distributed multimedia. He was awarded the Prize of the Minister of the STA, the Achievement Prize of IEICE. He is a Technical Program Chairman of ICCC'99, member of IEICE and Fellow of IEEE.
Advances in Visual Information Management: Visual Database Systems. IFIP TC2 WG2.6 Fifth Working Conference on Visual Database Systems May 10–12, 2000, Fukuoka, Japan by Masao Sakauchi (auth.), Hiroshi Arisawa, Tiziana Catarci (eds.)