Flexible Transport of 3-D Video Over Networks

Gurler, C. Goktug; Gorkemli, Burak; Saygılı, Görkem; Tekalp, A.M.

doi:10.1109/jproc.2010.2100010

Cited by 48 publications

(29 citation statements)

References 58 publications

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“…tree-based, meshbased, or a combination of both. It had previously been observed that commercial P2P deployments that rely purely on tree-based solutions do not exist [26], mainly due to the difficulty of maintaining the optimum tree structure in the cases of frequent peer churns and bandwidth fluctuations. A comprehensive comparison of the P2P solutions for video streaming had shown that mesh-based methods consistently exhibit superior performance over tree-based methods [27].…”

Section: Studies Related To Multi-view Video Streaming Over P2pmentioning

confidence: 99%

Adaptive Multiview Video Delivery Using Hybrid Networking

Ekmekcioǧlu

Gurler²,

Kondoz

et al. 2017

IEEE Trans. Circuits Syst. Video Technol.

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Section: Studies Related To Multi-view Video Streaming Over P2pmentioning

confidence: 99%

Adaptive Multiview Video Delivery Using Hybrid Networking

Ekmekcioǧlu

Gurler²,

Kondoz

et al. 2017

IEEE Trans. Circuits Syst. Video Technol.

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“…Multi-view coding (MVC), i.e., the RD efficient encoding of the left and right views, has attracted significant interest in the video compression research community [85], [86]. As MVC techniques mature, the design and evaluation of network transport mechanisms for encoded 3D video will likely become an important research area [87]. Trace characterizations of encoded 3D video will be important for facilitating research and evaluations of network transport of 3D encoded video and are currently in preparation.…”

Section: B Future Video Communications and Networking Research Direcmentioning

confidence: 99%

Video Transport Evaluation With H.264 Video Traces

Seeling

Reisslein

2012

IEEE Commun. Surv. Tutorials

202

150

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Abstract-The performance evaluation of video transport mechanisms becomes increasingly important as encoded video accounts for growing portions of the network traffic. Compared to the widely studied MPEG-4 encoded video, the recently adopted H.264 video coding standards include novel mechanisms, such as hierarchical B frame prediction structures and highly efficient quality scalable coding, that have important implications for network transport. This tutorial introduces a trace-based evaluation methodology for the network transport of H.264 encoded video. We first give an overview of H.264 video coding, and then present the trace structures for capturing the characteristics of H.264 encoded video. We give an overview of the typical video traffic and quality characteristics of H.264 encoded video. Finally, we explain how to account for the H.264 specific coding mechanisms, such as hierarchical B frames, in networking studies.

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“…The bandwidth increase will be even higher if more views are to be transmitted. The views can also be transmitted with the use of frame−compatible formats [23]. The left and right eye views are firstly subsampled and then put together, e.g., side−by−side into a single frame in these formats.…”

Section: Multiview Extensionmentioning

confidence: 99%

“…An effective transmission of the encoded video sequence is another important issue in multimedia systems [46,23]. In most cases the video, audio and auxiliary data streams mul− tiplexed in the MPEG−2TS [34] are transmitted.…”

Section: Video Transmissionmentioning

confidence: 99%