Content-Based Video Indexing and Retrieval
IEEE MultiMedia
Automatic parsing and indexing of news video
Multimedia Systems
Production model based digital video segmentation
Multimedia Tools and Applications
Medium knowledge-based macro-segmentation of video into sequences
Intelligent multimedia information retrieval
IEEE MultiMedia
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
Commercial Video Retrieval by Induced Semantics
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Structured Digital Video Indexing
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Shot Partitioning Based Recognition of TV Commercials
Multimedia Tools and Applications
Semantics in Visual Information Retrieval
IEEE MultiMedia
Local Color Analysis for Scene Break Detection Applied to TV Commercials Recognition
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
A Compact and Retrieval-Oriented Video Representation Using Mosaics
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Proceedings of the ACM International Conference on Image and Video Retrieval
Hi-index | 0.01 |
Videos convey information through several planes of communication. encompassing what is represented in the images. how the images are linked together and how the subject is imaged. This feature is stressed in commercials where colors, editing effects, rhythms, and object motion are exploited to influence human purchasing habits.In this paper. based on researches in the marketing field. a link is formalized between low level features of a commercial video and feelings that the video would inspire in the observer. This link is used to define high level indices capturing the main semantics of the video. These indices are embedded in a video retrieval system to support access to a database of video based on their semantics.