Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
The nature of statistical learning theory
The nature of statistical learning theory
A stochastic framework for optimal key frame extraction from MPEG video databases
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
A user attention model for video summarization
Proceedings of the tenth ACM international conference on Multimedia
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Incremental learning of object detectors using a visual shape alphabet
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Keyframe Extraction Using Local Visual Semantics in the Form of a Region Thesaurus
SMAP '07 Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
A Semantic Multimedia Analysis Approach Utilizing a Region Thesaurus and LSA
WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
A region thesaurus approach for high-level concept detection in the natural disaster domain
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Fusing MPEG-7 visual descriptors for image classification
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Overview of the MPEG-7 standard
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors
IEEE Transactions on Neural Networks
Wildlife video key-frame extraction based on novelty detection in semantic context
Multimedia Tools and Applications
A design-of-experiment based statistical technique for detection of key-frames
Multimedia Tools and Applications
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This paper presents a video analysis approach based on concept detection and keyframe extraction employing a visual thesaurus representation. Color and texture descriptors are extracted from coarse regions of each frame and a visual thesaurus is constructed after clustering regions. The clusters, called region types, are used as basis for representing local material information through the construction of a model vector for each frame, which reflects the composition of the image in terms of region types. Model vector representation is used for keyframe selection either in each video shot or across an entire sequence. The selection process ensures that all region types are represented. A number of high-level concept detectors is then trained using global annotation and Latent Semantic Analysis is applied. To enhance detection performance per shot, detection is employed on the selected keyframes of each shot, and a framework is proposed for working on very large data sets.