Combination of accumulated motion and color segmentation for human activity analysis
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Player Detection and Tracking in Broadcast Tennis Video
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
An intelligent strategy for the automatic detection of highlights in tennis video recordings
Expert Systems with Applications: An International Journal
A review of vision-based systems for soccer video analysis
Pattern Recognition
Semantic-aware delivery of multimedia
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Semantic Mastering: content adaptation in the creative drama production workflow
Multimedia Tools and Applications
Sports Information Retrieval for Video Annotation
International Journal of Digital Library Systems
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In semantic video adaptation measures of performance must consider the impact of the errors in the automatic annotation over the adaptation in relationship with the preferences and expectations of the user. In this paper, we define two new performance measures Viewing Quality Loss and Bit-rate Cost Increase,that are obtained from classical peak signal-to-noise ration (PSNR) and bitrate, and relate the results of semantic adaptation to the errors in the annotation of events and objects and the user's preferences and expectations. We present and discuss results obtained with a system that performs automatic annotation of soccer sport video highlights and applies different coding strategies to different parts of the video according to their relative importance for the end user. With reference to this framework, we analyze how highlights' statistics and the errors of the annotation engine influence the performance of semantic adaptation and reflect into the quality of the video displayed at the user's client and the increase of transmission costs.