Rule-based video classification system for basketball video indexing
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Semantic annotation of soccer videos: automatic highlights identification
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Object-Based and Event-Based Semantic Video Adaptation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
An Integrated Framework for Semantic Annotation and Adaptation
Multimedia Tools and Applications
Object-based coding for long-term archive of surveillance video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Content-adaptive utility-based video adaptation
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Using MPEG-7 and MPEG-21 for Personalizing Video
IEEE MultiMedia
Adapting multimedia Internet content for universal access
IEEE Transactions on Multimedia
Heterogeneous video transcoding to lower spatio-temporalresolutions and different encoding formats
IEEE Transactions on Multimedia
Image quality assessment based on a degradation model
IEEE Transactions on Image Processing
VCode and VData: illustrating a new framework for supporting the video annotation workflow
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Faceted search and retrieval based on semantically annotated product family ontology
Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
ACM Transactions on Accessible Computing (TACCESS)
Workflow-Based Architecture for Collaborative Video Annotation
OCSC '09 Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009
An adaptive and efficient unsupervised shot clustering algorithm for sports video
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Information Processing and Management: an International Journal
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Semantic video adaptation improves traditional adaptation by taking into account the degree of relevance of the different portions of the content. It employs solutions to detect the significant parts of the video and applies different compression ratios to elements that have different importance. Performance of semantic adaptation heavily depends on the precision of the automatic annotation and the way of operation of the codec which is used to perform adaptation at the event or object level. In this paper, we discuss critical factors that affect performance of automatic annotation and define new performance measures of semantic adaptation, Viewing Quality Loss and Bitrate Cost Increase, that are obtained from classical PSNR and Bit Rate, but relate the results of semantic adaptation with the user's preferences and expectations. The new measures are discussed in detail for a system of sport annotation and adaptation with reference to different user profiles