Algorithms for clustering data
Algorithms for clustering data
Fundamentals of speech recognition
Fundamentals of speech recognition
Automatic partitioning of full-motion video
Multimedia Systems
Digital Image Processing
Support vector machines: relevance feedback and information retrieval
Information Processing and Management: an International Journal
The MPEG-21 Book
Using MPEG-7 and MPEG-21 for Personalizing Video
IEEE MultiMedia
PSIP: Program & System Information Protocol
PSIP: Program & System Information Protocol
Large scale content analysis engine
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
IPTV, towards seamless infotainment
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Field evaluation of a cross platform 6 key navigation model and a unified user interface design
Proceedings of the 8th international interactive conference on Interactive TV&Video
A novel architecture for content and delivery validation for IPTV systems
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Discrimination of media moments and media intervals: sticker-based watch-and-comment annotation
Multimedia Tools and Applications
Multimodal late fusion bag of features applied to scene detection
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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Three-screen services provide the right solution for consumers to access rich multimedia resources by any device, anytime and anywhere. In this paper, we describe a prototype system of content personalization and adaptation for three-screen services. The system continuously acquires content from TV broadcast feeds, indexes and adapts the content for users according to their interests defined in preference profiles. Automatically compiled segments of content can be rendered on a variety of devices that the customers prefer to facilitate a smoother video consuming experience. Simulation results show that the proposed content analysis modules, including shot boundary detection, anchorperson detection, and multimodal story segmentation are effective. The resulting personalized content is suitable for consumption on devices with limited input capabilities.