multi-view-plus-depth (MVD) representation has gained significant attention recently as a means to encode 3D scenes, allowing for intermediate views to be synthesized on-the-fly at the display site through depth-image...
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ISBN:
(纸本)9781509060672
multi-view-plus-depth (MVD) representation has gained significant attention recently as a means to encode 3D scenes, allowing for intermediate views to be synthesized on-the-fly at the display site through depth-image-based-rendering (DIBR). Automatic quality assessment of MVD images/videos is critical for the optimal design of MVD image/video coding and transmission schemes. Most existing image quality assessment (IQA) and video quality assessment (VQA) methods are applicable only after the DIBR process. Such post-DIBR measures are valuable in assessing the overall system performance, but are difficult to be directly employed in the encoder optimization process in MVD image/video coding. Here we make one of the first attempts to develop a perceptual pre-DIBR IQA approach for MVD images by employing an information content weighted approach that balances between local quality measures of texture and depth images. Experiment results show that the proposed approach achieves competitive performance when compared with state-of-the-art IQA algorithms applied post-DIBR.
In this paper we present a novel image quality assessment technique for evaluating virtual synthesized views in the context of multi-view video. In particular, Free viewpoint Videos are generated from uncompressed col...
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ISBN:
(纸本)9780819494214
In this paper we present a novel image quality assessment technique for evaluating virtual synthesized views in the context of multi-view video. In particular, Free viewpoint Videos are generated from uncompressed color views and their compressed associated depth maps by means of the view Synthesis Reference Software, provided by MPEG. Prior to the synthesis step, the original depth maps are encoded with different coding algorithms thus leading to the creation of additional artifacts in the synthesized views. The core of proposed wavelet-based metric is in the registration procedure performed to align the synthesized view and the original one, and in the skin detection that has been applied considering that the same distortion is more annoying if visible on human subjects rather than on other parts of the scene. The effectiveness of the metric is evaluated by analyzing the correlation of the scores obtained with the proposed metric with Mean Opinion Scores collected by means of subjective tests. The achieved results are also compared against those of well known objective quality metrics. The experimental results confirm the effectiveness of the proposed metric.
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