2012 19th International Packet Video Workshop (PV) 2012
DOI: 10.1109/pv.2012.6229734
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Psycho-physical limits of interocular blur suppression and its application to asymmetric stereoscopic video delivery

Abstract: Abstract-It is well known that when the two eyes are provided with two views of different resolutions the overall perception is dominated by the high resolution view. This property, known as binocular suppression, is effectively used to reduce the bit rate required for stereoscopic video delivery, where one view of the stereo pair is encoded at a much lower quality than the other. There have been significant amount of effort in the recent past to measure the just noticeable level of asymmetry between the two v… Show more

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Cited by 19 publications
(17 citation statements)
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“…According to the suppression theory of binocular vision, the total perceived quality for mixed spatialresolution stereoscopic video is close to the view with the highest quality (the view with full spatial-resolution frames) [2,6]. This is due to the high frequency components (which exist in the full spatial-resolution frames) which compensate the corresponding components in the lower spatial-resolution frames [7]. Asymmetric temporalresolution and asymmetric quality are other alternatives for asymmetric coding.…”
Section: Context and Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…According to the suppression theory of binocular vision, the total perceived quality for mixed spatialresolution stereoscopic video is close to the view with the highest quality (the view with full spatial-resolution frames) [2,6]. This is due to the high frequency components (which exist in the full spatial-resolution frames) which compensate the corresponding components in the lower spatial-resolution frames [7]. Asymmetric temporalresolution and asymmetric quality are other alternatives for asymmetric coding.…”
Section: Context and Related Workmentioning
confidence: 99%
“…Asymmetric temporalresolution and asymmetric quality are other alternatives for asymmetric coding. 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%
“…Therefore, compression artifacts are perceived as local distortions, mainly affecting the 2D image quality of stereoscopic/3D videos. In [27], Silva et al conducted a subjective experiment to compare the impact of asymmetrically distorted stereoscopic videos with blurring and blocking artifacts. The results suggest that perceptual quality is dominated conversely by the higher quality view when the lower quality view is degraded by blur.…”
Section: Binocular Visionmentioning
confidence: 99%
“…A promising technique for coding stereo pairs known as asymmetric coding has focused considerable research efforts [4][5][6][7][8][9][10][11][12][13][14][15][16][17]. This approach is based on the so-called "binocular suppression theory" [3,4], which specifies that if one of the views of a given stereo-pair is altered, the 3D perceived quality will be close to the view with the highest quality [9], provided that the gap between both views does not exceed a threshold [5,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…This approach is based on the so-called "binocular suppression theory" [3,4], which specifies that if one of the views of a given stereo-pair is altered, the 3D perceived quality will be close to the view with the highest quality [9], provided that the gap between both views does not exceed a threshold [5,15,16]. Depending on how the quality reduction of one of the views is achieved, the asymmetric stereoscopic coding methods can be classified into three categories: (i) spatial resolution reduction (spatial filtering) [7][8][9][10][11][12][13][14], (ii) asymmetric quantization (unequal QP) [5,6,15] and (iii) temporal resolution reduction [17].…”
Section: Introductionmentioning
confidence: 99%