Rate Allocation Between Views in Scalable Stereo Video Coding using an Objective Stereo Video Quality Measure

Ozbek, N.; Tekalp, A.M.; Tunalı, E. Turhan

doi:10.1109/icassp.2007.366090

Cited by 28 publications

(18 citation statements)

References 6 publications

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“…For the second view, decoder interpolates the frames reconstructed at the base spatial layer and then writes them to a YUV file. Reconstructed files are viewed at the polarized projection display system at Koc University and quantitatively evaluated by using the 3D video quality metric proposed in [4]. Table 2 gives the quality metrics of the system for each scenario.…”

Section: Resultsmentioning

confidence: 99%

“…A particular method for selection of the best rate allocation between views has been described in [4], where a new quantitative measure for 3D video quality was proposed by using a weighted combination of two PSNR values and a jerkiness measure. Experimental results reported in [4] indicate that the seven scalability options can be reduced to three choices (namely Options 1, 3 and 7) without any performance loss.…”

Section: -490mentioning

confidence: 99%

“…Experimental results reported in [4] indicate that the seven scalability options can be reduced to three choices (namely Options 1, 3 and 7) without any performance loss. We define three total quality layers for our streaming experiments: i) Base total quality layer, includes the first view at full quality together with the second view at the base quality which is the base SNR of base spatial layer.…”

Section: -490mentioning

confidence: 99%

“…Hence, one of the views can be sent with full resolution, whereas spatial, temporal and/or SNR resolution of other view(s) can be dynamically adapted according to video content and network conditions, where scalable encoding can be done once and off-line [4].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Streaming of Scalable Stereoscopic Video Over DCCP

Ozbek

Gorkemli

Tekalp

et al. 2007

2007 IEEE International Conference on Image Processing

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We propose a new adaptive streaming model that utilizes DCCP in order to efficiently stream stereoscopic video over the Internet for 3DTV transport. The model allocates the available channel bandwidth, which is calculated by the DCCP, among the views according to the suppression theory of human vision. The video rate is adapted to the DCCP rate for each group of pictures (GoP) by adaptive extraction of layers from a scalable multi-view bitstream. The objective of the streaming model is to maximize perceived quality of the received 3D video while minimizing the number of possible display interrupts. Experimental results successfully demonstrate stereo video streaming over DCCP on wide area network.Index Terms-Scalable stereo video coding, adaptive layer extraction, inter-view rate adaptation, streaming over DCCP.

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Section: Resultsmentioning

confidence: 99%

Section: -490mentioning

confidence: 99%

Section: -490mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Streaming of Scalable Stereoscopic Video Over DCCP

Ozbek

Gorkemli

Tekalp

et al. 2007

2007 IEEE International Conference on Image Processing

Self Cite

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“…It provides view scalability, using the scalable extension of H.264/AVC [11], which allows truncating a number of viewpoints from the complete set of views. Visual and audio attention modeling approaches are also interesting alternatives for designing adaptable multi-view 3D video encoding systems [12].…”

Section: Introductionmentioning

confidence: 99%

Gaze-Based Personalized Multi-View Experiences

Andrade¹,

Costa²

2015

JMMC

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Abstract-This paper describes a solution for delivering and presenting stereoscopic video content to users in an innovative way. It adopts the multi-view paradigm of the H.264-MVC video coding standard and the emergent MPEG DASH specification to provide users in heterogeneous network environments multiple and varying perspectives of stereoscopic video sequences. Unlike existing 3D systems based on multi-view technology, which require high transmission bandwidth and high processing power on the terminal device to achieve the same objective, the proposed solution is able to make an efficient use of network resources whilst being cost-effective. It offers users a higher quality of experience by seamlessly adapting the quality of the delivered video content according to the network conditions, whilst providing a more realistic sense of immersion by offering stereoscopic views of the scene, dynamically switching the perspective to match the interests of the user. A non-intrusive head-tracking system using an off-the-shelf Web camera detects the focus of attention of the user, transmitting this information to the server that selects the most appropriate view to send to the client. Additionally, the system is able to generate the multiple perspective stereoscopic scenes using 2D cameras.

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