Unbalanced multiple-description video coding with rate-distortion optimization
EURASIP Journal on Applied Signal Processing
Fine-grained rate shaping for video streaming over wireless networks
EURASIP Journal on Applied Signal Processing
SMART: an efficient, scalable, and robust streaming video system
EURASIP Journal on Applied Signal Processing
IWDW '07 Proceedings of the 6th International Workshop on Digital Watermarking
Designing autonomous layered video coders
Image Communication
A study on new scalable video coding for quality control
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Spatially scalable video coding with an efficient two-layered architecture
Multimedia Tools and Applications
Continuous data availability in instantaneous streaming networks
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Frequency weighting and selective enhancement for MPEG-4 scalable video coding
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
The development of MPEG-4 based RTSP system for mobile multimedia streaming services
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Scalable protection and access control in full scalable video coding
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Parameter selection of robust fine granularity scalable video coding over MPEG-4
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Event-driven video adaptation: A powerful tool for industrial video supervision
Multimedia Tools and Applications
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Transmission of video over bandwidth varying networks like the Internet requires a highly scalable solution capable of adapting to the network condition in real-time. To address this requirement, scalable video-coding schemes with multiple enhancement layers have been proposed. However, under this multiple-layer paradigm, the transmission bit-rate of each layer has to be predetermined at encoding time. Consequently, the range of bit-rates that can be covered with these compression schemes is limited and often lower than, or different from, the desired range required at transmission time. In this paper, a novel scalable video-coding framework and a corresponding compression method for Internet video streaming are introduced. Building upon the MPEG-4 SNR fine-granular-scalability (FGS) approach, the proposed framework provides a new level of abstraction between the encoding and transmission process by supporting both SNR and temporal scalability through a single enhancement layer. Therefore, our proposed approach enables streaming systems to support full SNR, full temporal, and hybrid temporal-SNR scalability in real-time depending on the available bandwidth, packet-loss patterns, user preferences, and/or receiver complexity. Moreover, our experiments revealed that the presented FGS temporal-SNR scalability has similar or better PSNR performance than the multilayer scalability schemes. Subsequently, an Internet video streaming system employing the proposed hybrid FGS-temporal scalability structure is introduced, together with a very simple, yet effective, rate-control that performs the tradeoffs between individual image quality (SNR) and motion-smoothness in real-time. The hybrid temporal-SNR scalability presented in this paper has been adopted in the MPEG-4 standard to support video-streaming applications