Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective
IEEE Transactions on Knowledge and Data Engineering
A fusion architecture based on TBM for camera motion classification
Image and Vision Computing
RoleNet: treat a movie as a small society
Proceedings of the international workshop on Workshop on multimedia information retrieval
UQLIPS: a real-time near-duplicate video clip detection system
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
A secure framework exploiting content guided and automated algorithms for real time video searching
Multimedia Tools and Applications
A recommendation system for browsing digital libraries
Proceedings of the 2009 ACM symposium on Applied Computing
An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC
Image Communication
RoleNet: movie analysis from the perspective of social networks
IEEE Transactions on Multimedia - Special issue on integration of context and content
Hierarchical modeling and adaptive clustering for real-time summarization of rush videos
IEEE Transactions on Multimedia
Generation of size constrained video storyboard using spanning tree
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Effective content-based video retrieval using pattern-indexing and matching techniques
Expert Systems with Applications: An International Journal
News video retrieval by learning multimodal semantic information
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Detecting and clustering multiple takes of one scene
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
A multimedia recommender integrating object features and user behavior
Multimedia Tools and Applications
Activity-driven content adaptation for effective video summarization
Journal of Visual Communication and Image Representation
A heuristic algorithm for video scene detection using shot cluster sequence analysis
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Instant customized summaries streaming: a service for immediate awareness of new video content
AMR'09 Proceedings of the 7th international conference on Adaptive multimedia retrieval: understanding media and adapting to the user
Camera motion estimation and moving object detection based on local feature tracking
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
A conceptual framework for automatic text-based indexing and retrieval in digital video collections
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Learning to segment a video to clips based on scene and camera motion
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Sketch Based Video Annotation and Organization System in Distributed Teaching Environment
International Journal of Distributed Systems and Technologies
Video abstraction based on the visual attention model and online clustering
Image Communication
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Hierarchical video browsing and feature-based video retrieval are two standard methods for accessing video content. Very little research, however, has addressed the benefits of integrating these two methods for more effective and efficient video content access. In this paper, we introduce InsightVideo, a video analysis and retrieval system, which joins video content hierarchy, hierarchical browsing and retrieval for efficient video access. We propose several video processing techniques to organize the content hierarchy of the video. We first apply a camera motion classification and key-frame extraction strategy that operates in the compressed domain to extract video features. Then, shot grouping, scene detection and pairwise scene clustering strategies are applied to construct the video content hierarchy. We introduce a video similarity evaluation scheme at different levels (key-frame, shot, group, scene, and video.) By integrating the video content hierarchy and the video similarity evaluation scheme, hierarchical video browsing and retrieval are seamlessly integrated for efficient content access. We construct a progressive video retrieval scheme to refine user queries through the interactions of browsing and retrieval. Experimental results and comparisons of camera motion classification, key-frame extraction, scene detection, and video retrieval are presented to validate the effectiveness and efficiency of the proposed algorithms and the performance of the system.