International Journal of Computer Vision
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
The trecvid 2007 BBC rushes summarization evaluation pilot
Proceedings of the international workshop on TRECVID video summarization
Robust color histogram descriptors for video segment retrieval and identification
IEEE Transactions on Image Processing
Dimensionality reduction for heterogeneous dataset in rushes editing
Pattern Recognition
Binary tree based on-line video summarization
TVS '08 Proceedings of the 2nd ACM TRECVid Video Summarization Workshop
On Video Abstraction Systems' Architectures and Modelling
SAMT '08 Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
A framework for video abstraction systems analysis and modelling from an operational point of view
Multimedia Tools and Applications
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
On-line video abstract generation of multimedia news
Multimedia Tools and Applications
Video summarization: techniques and classification
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
| Hi-index | 0.00 |
This paper describes the method proposed for the TRECVID 2007 BBC rushes summarization task. Such method has been developed starting from an on-line summary generation approach which provides a fast way to generate a base summary that can be later reduced with an off-line summarization technique if the target summary size is not reached. The summarization algorithms aim to reduce the visual redundancy of the video by methods based on color similarity features and targeting to the generation of connected video skims (instead of providing isolated keyframes). The on-line summarization process provides a very fast method with low memory usage for video summary creation.