A signature for content-based image retrieval using a geometrical transform
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
A genetic model for video content based retrieval
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
Automatic Video Database Indexing and Retrieval
Multimedia Tools and Applications
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
Multimedia Tools and Applications
Techniques and Systems for Image and Video Retrieval
IEEE Transactions on Knowledge and Data Engineering
Efficient Image Retrieval through Vantage Objects
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Computing Dissimilarity Between Hand-drawn Sketches and Digitized Images
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Temporal Segmentation of MPEG Video Sequences
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Analysis of Camera Operations in MPEG Compressed Domain Based on Generalized Hough Transform
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Addressing the Problems of Bayesian Network Classification of Video Using High-Dimensional Features
IEEE Transactions on Knowledge and Data Engineering
An Affine-Invariant Tool for Retrieving Images from Homogeneous Databases
Multimedia Tools and Applications
Temporal Bayesian Network based contextual framework for structured information mining
Pattern Recognition Letters
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The increasing development of advanced multimedia applications requires new technologies for organizing and retrieving by content databases of still digital images or digital video sequences. The authors describe JACOB, a prototypal system allowing content-based browsing and querying in video databases. The JACOB system automatically splits a video into a sequence of shots, extracts a few representative frames (said r-frames) from each shot and computes r-frame descriptors based on features like color and texture. No user action is required during the database population step. Queries exploit this image content description and may be direct or by example.