The advanced video information system: data structures and query processing
Multimedia Systems
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Video Modeling Using Strata-Based Annotation
IEEE MultiMedia
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
A Content-Based Query Language for Video Databases
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
On clustering and retrieval of video shots through temporal slices analysis
IEEE Transactions on Multimedia
Hi-index | 0.00 |
This paper proposes a semantic-based video retrieval system that supports semantic-based retrieval of large-capacity video data in a mobile environment. The proposed system automatically extracts content information from video data and retrieves video data using an indexing agent. The indexing agent analyzes a user’s basic queries while extracting actual keywords from the queries. It then makes the meaning of key frame annotations more concrete through the use of dependence weight values. In addition, the indexing agent compares query images and database key frames through the use of the proposed binary-image histogram technique and retrieves the most similar key frame image that is displayed to the user. In the evaluation of a performance experiment, the proposed semantic-based video retrieval system shows higher retrieval performance than existing techniques in terms of scene retrieval from video data.