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Cited by 3 publications
(2 citation statements)
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“…Once the HDR content is processed by Dong's HDR HVS modeling module [2], different parallel feature channels (namely motion, color, brightness intensity, and texture orientations) are extracted. As suggested in [3], for extracting motion feature map, an optical flow based approach is used (residual flow detection method of [15,16]) to ensure high performance in bright image areas and minimize the effect of brightness flickering between video frames. For each of the color, intensity and orientation features as proposed in [2,5], a Gaussian pyramid is built in different scales and these pyramids are later combined across scales to form a feature map.…”
Section: Hdr Saliency Attributesmentioning
confidence: 99%
“…Once the HDR content is processed by Dong's HDR HVS modeling module [2], different parallel feature channels (namely motion, color, brightness intensity, and texture orientations) are extracted. As suggested in [3], for extracting motion feature map, an optical flow based approach is used (residual flow detection method of [15,16]) to ensure high performance in bright image areas and minimize the effect of brightness flickering between video frames. For each of the color, intensity and orientation features as proposed in [2,5], a Gaussian pyramid is built in different scales and these pyramids are later combined across scales to form a feature map.…”
Section: Hdr Saliency Attributesmentioning
confidence: 99%
“…Further it is assumed that using the textural part for the computation of the optical flow is more robust against shadow and shading artefacts. A study comparing various filters is given in (Vaudrey et al, 2009). …”
Section: Illumination Changesmentioning
confidence: 99%