IMPACT: an interactive natural-motion-picture dedicated multimedia authoring system
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic video data structuring through shot partitioning and key-frame computing
Machine Vision and Applications
Video summarization by curve simplification
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Auto-summarization of audio-video presentations
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Efficient matching and clustering of video shots
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Video summarization and retrieval using singular value decomposition
Multimedia Systems
Multi-Level Video Representation with Application to Keyframe Extraction
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
Keyframe-based video summarization using Delaunay clustering
International Journal on Digital Libraries
Dominant Sets and Pairwise Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Image and Video Processing (Communications, Networking and Multimedia)
Handbook of Image and Video Processing (Communications, Networking and Multimedia)
Time-Constrained Keyframe Selection Technique
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Efficient video indexing scheme for content-based retrieval
IEEE Transactions on Circuits and Systems for Video Technology
An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis
IEEE Transactions on Circuits and Systems for Video Technology
A novel video key-frame-extraction algorithm based on perceived motion energy model
IEEE Transactions on Circuits and Systems for Video Technology
Image and collateral text in support of auto-annotation and sentiment analysis
TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
Video scene detection using graph-based representations
Image Communication
Dominant sets based movie scene detection
Signal Processing
Medical Video Summarization using Central Tendency-Based Shot Boundary Detection
International Journal of Computer Vision and Image Processing
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The paper presents an automatic video summarization technique based on graph theory methodology and the dominant sets clustering algorithm. The large size of the video data set is handled by exploiting the connectivity information of prototype frames that are extracted from a down-sampled version of the original video sequence. The connectivity information for the prototypes which is obtained from the whole set of data improves video representation and reveals its structure. Automatic selection of the optimal number of clusters and hereafter keyframes is accomplished at a next step through the dominant set clustering algorithm. The method is free of user-specified modeling parameters and is evaluated in terms of several metrics that quantify its content representational ability. Comparison of the proposed summarization technique to the Open Video storyboard, the Adaptive clustering algorithm and the Delaunay clustering approach, is provided.