Fast and robust short video clip search using an index structure
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
A color fingerprint of video shot for content identification
Proceedings of the 12th annual ACM international conference on Multimedia
Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
On-line video skimming based on histogram similarity
Proceedings of the international workshop on TRECVID video summarization
Efficient multi-resolution histogram matching for fast image/video retrieval
Pattern Recognition Letters
Shot-based video retrieval with optical flow tensor and HMMs
Pattern Recognition Letters
Phased Scene Change Detection in Ubiquitous Environments
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
An efficient video indexing and retrieval algorithm using the luminance field trajectory modeling
IEEE Transactions on Circuits and Systems for Video Technology
People re-identification by spectral classification of silhouettes
Signal Processing
A statistical image retrieval method using color invariant
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
A video retrieval algorithm using random projections
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Commercial recognition in TV streams using coarse-to-fine matching strategy
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
vManager, developing a complete CBVR system
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Histogram-based image hashing for searching content-preserving copies
Transactions on data hiding and multimedia security VI
Pixel-Wise histograms for visual segment description and applications
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Real-Time monitoring system for TV commercials using video features
ICEC'06 Proceedings of the 5th international conference on Entertainment Computing
Fast and robust short video clip search for copy detection
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Mining dichromatic colours from video
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Comparative analysis of color- and grayscale-based feature descriptions for image recognition
Pattern Recognition and Image Analysis
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Effective and efficient representation of color features of multiple video frames or pictures is an important yet challenging task for visual information management systems. Key frame-based methods to represent the color features of a group of frames (GoF) are highly dependent on the selection criterion of the representative frame(s), and may lead to unreliable results. We present various histogram-based color descriptors to reliably capture and represent the color properties of multiple images or a GoF. One family of such descriptors, called alpha-trimmed average histograms, combine individual frame or image histograms using a specific filtering operation to generate robust color histograms that can eliminate the adverse effects of brightness/color variations, occlusion, and edit effects on the color representation. We show the efficacy of the alpha-trimmed average histograms for video segment retrieval applications, and illustrate how they consistently outperform key frame-based methods. Another color histogram descriptor that we introduce, called the intersection histogram, reflects the number of pixels of a given color that is common to all the frames in the GoF. We employ the intersection histogram to develop a fast and efficient algorithm for identification of the video segment to which a query frame belongs. The proposed color histogram descriptors have been included in the ISO standard MPEG-7 after extensive evaluation experiments.