Efficient disparity vector prediction schemes with modified P frame for 2D camera arrays

Avci, Aykut; Cock, Jan De; Lambert, Peter; Beernaert, Roel; Smet, Jelle De; Bogaert, Lawrence; Meuret, Youri; Thienpont, Hugo; Smet, Herbert De

doi:10.1016/j.jvcir.2011.10.006

Cited by 5 publications

(7 citation statements)

References 16 publications

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“…The small number of views that use both horizontal and vertical references (less than half of the views are of types B2 or B3) is the main limitation of this scheme, with the distance between the coding views and reference views. In [48][49][50][51], an approach at the coding unit level is proposed, with several similar methods based on the prediction of a DV for the current coding view by interpolation of DVs from neighboring views.…”

Section: Improvements For Full Parallaxmentioning

confidence: 99%

Full Parallax 3D Video Content Compression

Dricot

Jung

Cagnazzo

et al. 2014

Novel 3D Media Technologies

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Motion parallax is a key cue in the perception of the depth that current 3D stereoscopy and auto-stereoscopy technologies are not able to reproduce. Integral imaging and Super Multi-View video (SMV) are 3D technologies that allow creating a light-field representation of a scene with a smooth full motion parallax (i.e., in horizontal and vertical directions). However the large amount of data required is challenging and implies a need for new efficient coding technologies. This chapter first describes integral imaging and SMV content, acquisition, and display. Then it provides an overview of state-of-the-art methods for full parallax 3D content compression. Finally, several coding schemes are compared and a coding structure that exploits inter-view correlations in both horizontal and vertical directions is proposed. The new structure provides a rate reduction (for the same quality) up to 29.1 % when compared to a basic anchor structure. Neighboring Block Disparity Vector (NBDV) and Inter-View Motion Prediction (IVMP) coding tools are further improved to efficiently exploit coding structures in two dimensions, with rate reduction up to 4.2 % with respect to the reference 3D-HEVC encoder.

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Section: Improvements For Full Parallaxmentioning

confidence: 99%

Full Parallax 3D Video Content Compression

Dricot

Jung

Cagnazzo

et al. 2014

Novel 3D Media Technologies

View full text Add to dashboard Cite

show abstract

“…In order to increase the accuracy and the efficiency of the encoding process, the threshold value should be calculated block by block instead of applying a single threshold value to the whole prediction scheme, as we did in our previous work. 18,19 Since the D frame is using the disparity vector information of the blocks in a P frame, the P frame must be encoded before we can begin to encode the D frame. Therefore, the previously encoded P frame can be employed to estimate the threshold values of the blocks during the encoding of the D frame.…”

Section: Threshold Value Calculation and Automationmentioning

confidence: 99%

“…In our previous work, the threshold values were determined experimentally at different QPs. 18 The arrows in Fig. 1 and Fig.…”

Section: Introductionmentioning

confidence: 99%

Reduced-complexity multiview prediction scheme with content-adaptive disparity vector estimation

Avci

Cock

Smet

et al. 2012

J. Electron. Imaging

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Abstract. Disparity estimation is a highly complex and time consuming process in multiview video encoders. Since multiple views taken from a two-dimensional camera array need to be coded at every time instance, the complexity of the encoder plays an important role besides its rate-distortion performance. In previous papers we have introduced a new frame type called the D (derived) frame that exploits the strong geometrical correspondence between views, thereby reducing the complexity of the encoder. By employing the D frames instead of some of the P frames in the prediction structure, significant complexity gain can be achieved if the threshold value, which is a keystone element to adjust the complexity at the cost of quality and/or bit-rate, is selected wisely. A new adaptive method to calculate the threshold value automatically from existing information during the encoding process is presented. In this method, the threshold values are generated for each block of each D frame to increase the accuracy. The algorithm is applied to several image sets and 20.6% complexity gain is achieved using the automatically generated threshold values without compromising quality or bit-rate.

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“…Yang et al () proposed a stereo image quality assessment based on HVS from the perspective of image quality and stereo sense. In Deng et al (a), the motion consistency constraint in stereoscopic video coding is used in the iteration of motion and disparity estimation to achieve a better speed‐up gain in both motion and disparity fields. Shao et al () performed color correction as a pre‐processing step and chrominance reconstruction as a post‐processing step.…”

Section: Introductionmentioning

confidence: 99%

“…In Deng et al (a), the motion consistency constraint in stereoscopic video coding is used in the iteration of motion and disparity estimation to achieve a better speed‐up gain in both motion and disparity fields. Shao et al () performed color correction as a pre‐processing step and chrominance reconstruction as a post‐processing step. The method provides consistent color information between views and takes the perceptual visual redundancy of human vision into account, which achieves significant bit‐rate saving while maintaining perceptual quality exceedingly well.…”

Section: Introductionmentioning

confidence: 99%

Performance improvement of multi‐view video coding based on geometric prediction and human visual system

Chen

Yeh

et al. 2015

Int J Imaging Syst Tech

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This article proposed an accurate disparity vector prediction (DVP) algorithm for multi-view video coding. Differing from traditional DVP that uses the information of motion vectors of neighboring blocks, the geometry of the camera position is utilized to calculate the parallax of different viewpoints in this algorithm and this parallax is the foundation of DVP. We jointly applied the JustNoticeable-Difference human visual model to the DVP. After filtered using Gaussian function, the geometric DVP was obtained. Experimental results showed that the proposed method achieved significant data reduction and subjective/objective quality enhancement.

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Efficient disparity vector prediction schemes with modified P frame for 2D camera arrays

Cited by 5 publications

References 16 publications

Full Parallax 3D Video Content Compression

Full Parallax 3D Video Content Compression

Reduced-complexity multiview prediction scheme with content-adaptive disparity vector estimation

Performance improvement of multi‐view video coding based on geometric prediction and human visual system

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