Structuralized context-aware content and scalable resolution support for wireless VoD services

Chen, Bo-Wei; Tsai, An-Chao; Wang, Jhing-Fa

doi:10.1109/tce.2009.5174444

IEEE Trans. Consumer Electron.

2009

DOI: 10.1109/tce.2009.5174444

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Structuralized context-aware content and scalable resolution support for wireless VoD services

Bo-Wei Chen

An-Chao Tsai

Jhing-Fa Wang

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Cited by 15 publications

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A personalized mobile IPTV system with seamless video reconstruction algorithm in cloud networks

Lai

et al. 2011

Int J Communication

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SUMMARYMobile Internet Protocol Television (IPTV) delivers omnipresent multimedia video services through mobile devices, and a cloud system provides services for content integration. This study presents a personalized mobile IPTV system based on a cloud network. The system allows users to browse their favorite multimedia videos in the cloud networks through mobile devices. Without the trouble of repeated and complex searches of multimedia files, the system can automatically search for nearby multimedia data that users are browsing, and reconstruct dispersed video contents through a seamless video reconstruction algorithm (SVRA) for integration into video data for continuous play, thus, becoming a user-friendly mobile IPTV system. The study focuses on the design and implementation of a SVRA, and validation of the accuracy of the theories and the algorithm through the proposed system are presented in this paper. This system was tested and validated with success.

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A personalized mobile IPTV system with seamless video reconstruction algorithm in cloud networks

Lai

et al. 2011

Int J Communication

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Structuralized context-aware content and scalable resolution support for wireless VoD services

Cited by 15 publications

References 20 publications

A personalized mobile IPTV system with seamless video reconstruction algorithm in cloud networks

A personalized mobile IPTV system with seamless video reconstruction algorithm in cloud networks

RETRACTED ARTICLE: Medical image semantic segmentation based on deep learning

Depth estimation from single monocular images using deep hybrid network

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