Paper
24 June 2005 Consideration of scalable transcoding method in video content delivery methods for quality selection
Mei Kodama, Haruhiko Hayakawa
Author Affiliations +
Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59606E (2005) https://doi.org/10.1117/12.633504
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
Abstract
Now, we often use video contents stream over the networks, however, we select the quality of video data according to their environments of access terminals, such as, network speed, CPU, graphic accelerator, size of local memory and hard disk and so on. Then, in video sites, multi-quality video contents are prepared for any user requirement, but from the point of view of data size, it makes not only the hardware cost of memory high, but also amount of video data over the network huge, so it is not efficiency. Moreover, from the video data structure, data compression is not enough in database. Then, we pay attention to scalability transcoding structure comparing with simulcast coding for multi-quality video. At this time, it is important that data transmission time and transcoding time are trade-off. In this paper, we use video access model with guaranteed bandwidth considering by data transmission and browsing. Moreover, we propose the video contents delivery methods with scalable transcoding, when users use multi-quality video, and evaluate transcoding time in video access model. By evaluation experiments, these situations of users' access are made clear. At this time, we indicated the case when proposed methods are more useful than simulcast type for multi-quality video. From the view point of transcoding time, influence of users' access time is clear in this model, comparing proposed methods with simulcast type by simulation experiments.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mei Kodama and Haruhiko Hayakawa "Consideration of scalable transcoding method in video content delivery methods for quality selection", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59606E (24 June 2005); https://doi.org/10.1117/12.633504
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KEYWORDS
Video

Video compression

Data transmission

Computer programming

Data modeling

Data compression

Networks

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