3D-DCT based perceptual quality assessment of stereo video

Jin, Lina; Boev, Atanas; Gotchev, Atanas; Егиазарян, Карен

doi:10.1109/icip.2011.6116175

Cited by 68 publications

(45 citation statements)

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“…In the PSNR case, the MSE derived in each channel was averaged in advance. Four metrics that predict the quality of the stereoscopic content have been included in the comparison: PHVS3D [2], PHSD [3], 3DBE [7], and the stereo metric, described Figure 12 QA computational complexity comparison.…”

Section: Comparative Resultsmentioning

confidence: 99%

“…Recently, the inclusion of some 3D factors as part of the quality evaluation process has been attempted [1]. In [2], a 3D discrete cosine transform (DCT)-based stereo QA method was proposed for mobile 3D video. The method attempts to model the mechanisms of binocular correspondence formation, using the information in the neighboring blocks and contrast masking by grouping similarly sized 4 × 4 blocks of pixels in the left and right channels for joint analysis in the 3D DCT domain.…”

Section: Introductionmentioning

confidence: 99%

“…The method attempts to model the mechanisms of binocular correspondence formation, using the information in the neighboring blocks and contrast masking by grouping similarly sized 4 × 4 blocks of pixels in the left and right channels for joint analysis in the 3D DCT domain. In [3], the local depth variance for each reference block is used to weigh the quality metric proposed in [2] appropriately. In [4], a monoscopic quality component and a stereoscopic quality component for measurement of stereoscopic image quality have been combined.…”

Section: Introductionmentioning

confidence: 99%

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Quantifying the importance of cyclopean view and binocular rivalry-related features for objective quality assessment of mobile 3D video

et al. 2014

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Abstract3D video is expected to provide an enhanced user experience by using the impression of depth to bring greater realism to the user. Quality assessment plays an important role in the design and optimization of 3D video processing systems. In this paper, a new 3D image quality model that is specifically tailored for mobile 3D video is proposed. The model adopts three quality components, called the cyclopean view, binocular rivalry, and the scene geometry, in which the quality must be quantified. The cyclopean view formation process is simulated and its quality is evaluated using the three proposed approaches. Binocular rivalry is quantified over the distorted stereo pairs, and the scene quality is quantified over the disparity map. Based on the model, the 3D image quality can then be assessed using state-of-the-art 2D quality measures selected appropriately through a machine learning approach. To make the metric simple, fast, and efficient, final selection of the quality features is accomplished by also considering the computational complexity and the CPU running time. The metric is compared with several currently available 2D and 3D metrics. Experimental results show that the compound metric gives a significantly high correlation with the mean opinion scores that were collected through large-scale subjective tests run on mobile 3D video content.

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Section: Comparative Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantifying the importance of cyclopean view and binocular rivalry-related features for objective quality assessment of mobile 3D video

et al. 2014

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“…Jin et al [45] proposed a full-reference stereoscopic/3D VQM using 3D-DCT and features from contrast masking. The 3D-DCT is a decorrelating transform that achieves highly sparse representations of 3D visual stimuli [23].…”

Section: Stereoscopic Vqa With Depth/disparity Informationmentioning

confidence: 99%

Visual Quality Assessment of Stereoscopic Image and Video: Challenges, Advances, and Future Trends

Moorthy

Bovik

2014

Visual Signal Quality Assessment

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Along with other digital visual media [8,10], the amount of stereoscopic/3D content delivered by the cinema, television, and entertainment industries for human consumption has been growing dramatically over the past few years. According to the latest theatrical market statistics gathered by the Motion Picture Association of America (MPAA) [73], the proportion of cinema screens that are 3D has reached 35 % worldwide, and approximately half of all cinema-goers viewed at least one 3D cinema in 2012. As Hollywood director James Cameron, who directed and produced Avatar, one of the most successful 3D presentations of recent times, stated in an interview with BBC news in August 2013 [3]: "All forms of entertainment will eventually be 3D, because that's how we see the world."In fact, the wave of 3D has not been limited to the entertainment industry. With greatly improved acquisition and display technologies, stereoscopic/3D images and videos provide natural and versatile visual representations in numerous applications, including robot navigation [2], remote education [115], medical body exploration [114], therapeutic treatment [26], and so forth. As these huge volumes of stereoscopic/3D data are making their way to the consumers, efficient compression and transmission of such data, especially over already-stressed wireless networks, becomes important. In every stage of capture, compression, storage

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“…Also, more recent models are the Visible Differences Predictor (VDP) by Daly [33], the Just Noticeable Difference (JND) model by Lubin [124] (widely used in various audiovisual applications), and the Digital Video Quality (DVQ) model by Watson [216] (considered in the VQEG projects for developing video quality metrics [83]). An example of an HVS model considering stereoscopic vision was proposed by Jin et al [97], based on a 3D discrete cosine transform and considering factors as masking effects and contrast sensitivity.…”

Section: Objective Evaluation Metricsmentioning

confidence: 99%

Analysis of quality of experience in 3D video systems

Sánchez¹

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3D-DCT based perceptual quality assessment of stereo video

Cited by 68 publications

References 10 publications

Quantifying the importance of cyclopean view and binocular rivalry-related features for objective quality assessment of mobile 3D video

Quantifying the importance of cyclopean view and binocular rivalry-related features for objective quality assessment of mobile 3D video

Visual Quality Assessment of Stereoscopic Image and Video: Challenges, Advances, and Future Trends

Analysis of quality of experience in 3D video systems

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