Quality assessment of asymmetric stereo video coding

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

doi:10.1109/icip.2010.5653339

Cited by 47 publications

(18 citation statements)

References 7 publications

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“…The former causes flickering artifacts especially when coding sequences, which contain fast object motion, while the latter produces inevitable blocking artifacts when coding videos at low bitrates [7,8]. Still, the mixed spatial-resolution approach provides better perceived quality than other coding approaches when coding multi-view videos at low bitrates [2,9].…”

Section: Context and Related Workmentioning

confidence: 99%

Prediction architecture based on block matching statistics for mixed spatial-resolution multi-view video coding

Said

Moniri

Chibelushi

2017

J Image Video Proc.

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The use of mixed spatial resolutions in multi-view video coding is a promising approach for coding videos efficiently at low bitrates. It can achieve a perceived quality, which is close to the view with the highest quality, according to the suppression theory of binocular vision. The aim of the work reported in this paper is to develop a new multi-view video coding technique suitable for low bitrate applications in terms of coding efficiency, computational and memory complexity, when coding videos, which contain either a single or multiple scenes. The paper proposes a new prediction architecture that addresses deficiencies of prediction architectures for multi-view video coding based on H.264/AVC. The prediction architectures which are used in mixed spatial-resolution multi-view video coding (MSR-MVC) are afflicted with significant computational complexity and require significant memory size, with regards to coding time and to the minimum number of reference frames. The architecture proposed herein is based on a set of investigations, which explore the effect of different inter-view prediction directions on the coding efficiency of multi-view video coding, conduct a comparative study of different decimation and interpolation methods, in addition to analyzing block matching statistics. The proposed prediction architecture has been integrated with an adaptive reference frame ordering algorithm, to provide an efficient coding solution for multi-view videos with hard scene changes. The paper includes a comparative performance assessment of the proposed architecture against an extended architecture based on the 3D digital multimedia broadcast (3D-DMB) and the Hierarchical B-Picture (HBP) architecture, which are two most widely used architectures for MSR-MVC. The assessment experiments show that the proposed architecture needs less bitrate by on average 13.1 Kbps, less coding time by 14% and less memory consumption by 31.6%, compared to a corresponding codec, which deploys the extended 3D-DMB architecture when coding single-scene videos. Furthermore, the codec, which deploys the proposed architecture, accelerates coding by on average 57% and requires 52% less memory, compared to a corresponding codec, which uses the HBP architecture. On the other hand, multi-view video coding which uses the proposed architecture needs more bitrate by on average 24.9 Kbps compared to a corresponding codec that uses the HBP architecture. For coding a multi-view video which has hard scene changes, the proposed architecture yields less bitrate (by on average 28.7 to 35.4 Kbps), and accelerates coding time (by on average 64 and 33%), compared to the HBP and extended 3D-DMB architectures, respectively. The proposed architecture will thus be most beneficial in low bitrate applications, which require multi-view video coding for video content depicting hard scene changes.

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Section: Context and Related Workmentioning

confidence: 99%

Prediction architecture based on block matching statistics for mixed spatial-resolution multi-view video coding

Said

Moniri

Chibelushi

2017

J Image Video Proc.

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“…The asymmetry can be achieved through spatial [15], quality [13], [14] or temporal [16] scaling in one of the views. There are thus algorithms studying the unequal bit allocation [18], [19] between two views for the case of asymmetric stereo coding. However, these algorithms only consider bit allocation between views in one stereo video.…”

Section: Introductionmentioning

confidence: 99%

Joint Rate Allocation of Stereoscopic 3D Videos in Next-Generation Broadcast Applications

Yao

Chau

Rahardja

2013

IEEE Trans. on Broadcast.

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3D video is foreseen to be the next natural step in the evolution of digital media. Among various representation formats available for 3D videos, stereoscopic is considered the most mature technology so far. This paper proposes a joint rate allocation scheme for next-generation broadcast applications, in which multiple stereoscopic 3D videos are encoded and transmitted simultaneously. We first propose a scalable stereoscopic video coding scheme that inherits features from scalable video coding. The scalable format makes the rate control of each video as easy as bit-stream extraction. For the two views in stereo videos, the reference view is independently coded to provide backward compatibility, while the auxiliary view is coded using the reference view as a base layer to remove inter-view redundancy. Based on the well-known fact that the human visual system can compensate and conceal the degraded fidelity in one of the two views, provided the other view is encoded at a high quality, the proposed joint rate allocation scheme does adaptive bit allocation between views to obtain high compression efficiency and better quality. Experimental results show that the proposed framework achieves smaller quality fluctuation among videos and higher perceived quality in each video as compared with the existing system. Index Terms-Asymmetric coding, joint rate allocation, scalable stereo video coding, scalable video coding, stereoscopic 3D video.

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“…Based on binocular suppression theory [5][6][7], bit-rate and computational complexity reduction can be simultaneously achieved by mixed-resolution, or asymmetric coding of the stereo images [8][9][10]. The objective quality of lowresolution views can be recovered at the decoder side, using high-frequency information from neighboring views [11].…”

Section: Introductionmentioning

confidence: 99%

Depth-map super-resolution for asymmetric stereo images

Garcia

Dorea

Queiroz

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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We propose a mixed-resolution coding architecture for stereo color-plus-depth images, where encoding is performed at a low resolution, except for one of the color images. Superresolution methods are proposed for the depth maps and for the low-resolution color image at the decoder side. Experiments are carried out for several real and synthetic images and reveal a reduction in complexity at the encoder associated with average PSNR gains of the super-resolved lowresolution color image with respect to regular interpolation.

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Quality assessment of asymmetric stereo video coding

Cited by 47 publications

References 7 publications

Prediction architecture based on block matching statistics for mixed spatial-resolution multi-view video coding

Prediction architecture based on block matching statistics for mixed spatial-resolution multi-view video coding

Joint Rate Allocation of Stereoscopic 3D Videos in Next-Generation Broadcast Applications

Depth-map super-resolution for asymmetric stereo images

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