Representation and Retrieval of Visual Media in Multimedia SystemsHongJiang Zhang, Philippe Aigrain, Dragutin Petkovic Springer Science & Business Media, 2007. gada 20. aug. - 91 lappuses Representation and Retrieval of Visual Media in Multimedia Systems brings together in one place important contributions and up-to-date researcg results in this important area. Representation and Retrieval of Visual Media in Multimedia Systems serves as an excellent reference, providing insight into some of the most important research issues in the field. |
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Representation and Retrieval of Visual Media in Multimedia Systems HongJiang Zhang,Philippe Aigrain,Dragutin Petkovic Ierobežota priekšskatīšana - 1996 |
Representation and Retrieval of Visual Media in Multimedia Systems HongJiang Zhang,Philippe Aigrain,Dragutin Petkovic Priekšskatījums nav pieejams - 1996 |
Representation and Retrieval of Visual Media in Multimedia Systems HongJiang Zhang,Philippe Aigrain,Dragutin Petkovic Priekšskatījums nav pieejams - 2013 |
Bieži izmantoti vārdi un frāzes
aggregation hierarchy Aigrain algorithms automatically BKEY browsers browsing method camera cip(w classification close caption color space COMIB component composite icon browsing composite icon path Computer computer vision content analysis content-based image content-based image retrieval content-based retrieval current composite icon database images database systems DBMS default composite icon defined detection device mark document domain block efficient feature extraction feature measures Figure fractal image compression graphics iconic image IEEE Image and Video image compression image data image database image retrieval interactive INTERFLUG J.K. Wu J.R. Smith joint fractal coding large visual database M₁ motion MPEG multimedia databases multimedia objects navigation pixels present Proc query R-tree range blocks representation retrieval of visual retrieval session schema browsing segmentation selected semantic Seoul National University shape similarity measures similarity rates soundtrack spatial SPIE structure techniques texture trademark images transformation user interface video content visual data visual media word-in-mark
Populāri fragmenti
65. lappuse - JR Bach, S. Paul, and R. Jain, "A visual information management system for the interactive retrieval of faces," IEEE Transactions on Knowledge and Data Engineering, Vol.
15. lappuse - Key-frames are frequently used to supplement the text of a video log [18], but there has been little progress in identifying them automatically. The challenge is that the extraction of key-frames needs to be automatic and content based so that they maintain the important content of the video while remove all redundancy. In theory semantic primitives of video, such as interesting objects, actions and events should be used. However, because such general semantic analysis is not currently feasible,...
9. lappuse - A fade is a slow change in brightness of images usually resulting in or starting with a solid black frame. A dissolve occurs when the images of the first shot get dimmer and the images of the second shot get brighter, with frames within the transition showing one image superimposed on the other. A wipe occurs when pixels from the second shot replace those of the first shot in a regular pattern such as in a line from the right edge of the frames.
88. lappuse - JK Wu, AD Narasimhalu, BM Mehtre, CP Lam, and YJ Gao, "CORE: a content-based retrieval engine for multimedia information systems," Multimedia Systems, 3(1), 1995,25-41.
21. lappuse - Cluster A is linked to cluster B if one of the shots in A is immediately followed by a shot in B. The resulting graph is displayed for browsing, each node being represented by a key-frame extracted from one of the shots in the node. This graph can be edited for simplification by a human operator. The drawbacks of this approach lie in the difficulty of the graph layout problem, resulting in poor screen space use, and in the fact that the linear structure of the document is no longer perceptible.
67. lappuse - She is currently an Assistant Professor in the Department of Computer Science at the State University of New York at Buffalo.
14. lappuse - These rules refer to transition effects, shot repetition, shot setting similarity, apparition of music in the soundtrack, editing rhythm, and camera work. After detection of the local clues, an analysis of their temporal organization is done in order to produce the segmentation and lo choose one or two representative shots for each sequence.
3. lappuse - Institut de Recherche en Informatique de Toulouse Universite Paul Sabatier, 118 route de Narbonne 31062 TOULOUSE Cedex (FRANCE) Abstract...
Atsauces uz šo grāmatu
Ähnlichkeitssuche in Multimedia-Datenbanken: Retrieval, Suchalgorithmen und ... Ingo Schmitt Priekšskatījums nav pieejams - 2006 |