Distributed multi-view video coding

Guo, Xianping; Lu, Yan; Wu, Feng; Gao, Wen; Li, Shipeng

doi:10.1117/12.642989

Cited by 68 publications

(66 citation statements)

References 7 publications

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“…For us, the first question was the real contribution of having all these estimations to build a single better SI. In [13,15,20], some authors have already shown that when an ideal fusion of temporal and inter-view estimations is done, the performance is about 1 dB better than when the side information is only build with a temporal estimation. However, the existing work by now does not consider more than two estimations.…”

Section: Long-term Estimation For Side Informationmentioning

confidence: 99%

Side information estimation and new symmetric schemes for multi-view distributed video coding

Maugey

Pesquet‐Popescu

2008

Journal of Visual Communication and Image Representation

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a b s t r a c tThis paper deals with distributed video coding (DVC) for multi-view sequences. DVC of multi-view sequences is a recent field of research, with huge potential impact in applications such as videosurveillance, real-time event streaming from multiple cameras, and, in general, immersive communications. It raises however several problems, and in this paper we tackle two of them. Based on the principles of Wyner-Ziv (WZ) coding, in multi-view DVC many estimations can be generated in order to create the side information (SI) at the decoder. It has been shown that the quality of the SI strongly influences the global coding performances. Therefore, this paper proposes to study the contribution of multiple SI estimations (in the temporal and view directions) to the global performances. Moreover, we propose new symmetric schemes for longer group of pictures (GOP) in multi-view DVC and show that we can further exploit the long-term correlations using a new kind of estimation, called diagonal. For such schemes, several decoding strategies may be envisaged. We perform a theoretical study of the temporal and interview dependencies, and confirm by experiments the conclusion about the best decoding strategy.

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Section: Long-term Estimation For Side Informationmentioning

confidence: 99%

Side information estimation and new symmetric schemes for multi-view distributed video coding

Maugey

Pesquet‐Popescu

2008

Journal of Visual Communication and Image Representation

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“…In addition, DSC has been investigated for a variety of applications, ranging from scalable coding [33], [34], error resilience video transmission [35], [36], distributed compression of multiview image/video [37], [38], to hyperspectral image compression [39] (see [40] for a recent survey). In this paper, we extend our previous work [10], [11] to apply DSC to facilitate interactive view switching, and this is significantly different from other DSC applications.…”

Section: Distributed Source Codingmentioning

confidence: 99%

Interactive Streaming of Stored Multiview Video Using Redundant Frame Structures

Cheung

Ortega

Cheung

2011

IEEE Trans. on Image Process.

129

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Abstract-While much of multiview video coding focuses on the rate-distortion performance of compressing all frames of all views for storage or non-interactive video delivery over networks, we address the problem of designing a frame structure to enable interactive multiview streaming, where clients can interactively switch views during video playback. Thus, as a client is playing back successive frames (in time) for a given view, it can send a request to the server to switch to a different view while continuing uninterrupted temporal playback. Noting that standard tools for random access (i.e., I-frame insertion) can be bandwidth-inefficient for this application, we propose a redundant representation of I-, P-, and "merge" frames, where each original picture can be encoded into multiple versions, appropriately trading off expected transmission rate with storage, to facilitate view switching. We first present ad hoc frame structures with good performance when the view-switching probabilities are either very large or very small. We then present optimization algorithms that generate more general frame structures with better overall performance for the general case. We show in our experiments that we can generate redundant frame structures offering a range of tradeoff points between transmission and storage, e.g., outperforming simple I-frame insertion structures by up to 45% in terms of bandwidth efficiency at twice the storage cost.Index Terms-Media interaction, multiview video coding, video streaming.

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“…However, the method in [8] failed to show better performance than when only MCTI was used. The one in [9] employed a Homography-compensated Inter-view Interpolation (HCII) technique that uses the homography of images to generate side information from the adjacent view images.…”

Section: Introductionmentioning

confidence: 99%

“…The research on DVC has been mainly in progress by Girod at Stanford University [3][4][5], Ramchandran at Berkeley University [6], and a collaborative research group of DISCOVER in Europe [7]. The distributed multi-view video coding (DMVC) [8][9][10] generates side information by a Motion-compensated Temporal Interpolation (MCTI) technique with temporallyadjacent images or from spatial prediction with spatiallyadjacent view images at the same instant. Also, a technique that mixes the above two schemes has been proposed in which the differences in pixel values and the magnitudes of motion vectors are used to obtain more accurate side information [8].…”

Section: Introductionmentioning

confidence: 99%

Distributed Coding Scheme for Multi-view Video through Efficient Side Information Generation

Yoo¹,

Ko²,

Kwon³

et al. 2014

Journal of Electrical Engineering and Technology

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-In this paper, a distributed image coding scheme for multi-view video through an efficient generation of side information is proposed. A distributed video coding technique corrects the errors in the side information, which is generated with the original image, by using the channel coding technique at the decoder. Therefore, the more correct the generated side information is, the better the performance of distributed video coding. The proposed technique is to apply the distributed video coding schemes to the image coding for multi-view video. It generates side information by selectively and efficiently using both 3-dimensional warping based on the depth map with spatially adjacent frames and motion-compensated temporal interpolation with temporally adjacent frames. In this scheme the difference between the adjacent frames, the sizes of the motion vectors for the adjacent blocks, and the edge information are used as the selection criteria. From the experiments, it was observed that the quality of the side information generated by the proposed technique was improved by the average peak signal-to-noise ratio of 0.97dB than the one by motion-compensated temporal interpolation or 3-dimensional warping. The result from analyzing the rate-distortion curves revealed that the proposed scheme could reduce the bit-rate by 8.01% on average at the same peak signal-tonoise ratio value, compared to previous work.

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Distributed multi-view video coding

Cited by 68 publications

References 7 publications

Side information estimation and new symmetric schemes for multi-view distributed video coding

Side information estimation and new symmetric schemes for multi-view distributed video coding

Interactive Streaming of Stored Multiview Video Using Redundant Frame Structures

Distributed Coding Scheme for Multi-view Video through Efficient Side Information Generation

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