Topic
Video quality
About: Video quality is a research topic. Over the lifetime, 13143 publications have been published within this topic receiving 178307 citations.
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01 Jan 2010
TL;DR: The newly launched Consumer Digital Video Library website (CDVL) accepts and shares contributions of high–quality video sequences to assist video researchers in the development and testing of new algorithms for video processing, coding, and both subjective and objective quality measurement.
Abstract: The shortage of high quality video sequences has hampered video quality research for 20 years. Every Video Quality Experts Group (VQEG) test has encountered difficulty in obtaining quality source content. For some validation tests, this caused a multiple–year delay. To address this critical need, the newly launched Consumer Digital Video Library (CDVL) website (www.cdvl.org) accepts and shares contributions of high–quality video sequences. The site is designed to assist video researchers in the development and testing of new algorithms for video processing, coding, and both subjective and objective quality measurement.
70 citations
TL;DR: The proposed NORM (NO-Reference video quality Monitoring), an algorithm to assess the quality degradation of H.264/AVC video affected by channel errors, provides an estimate of the mean square error distortion at the macroblock level, showing good linear correlation.
Abstract: When video is transmitted over a packet-switched network, the sequence reconstructed at the receiver side might suffer from impairments introduced by packet losses, which can only be partially healed by the action of error concealment techniques. In this context we propose NORM (NO-Reference video quality Monitoring), an algorithm to assess the quality degradation of H.264/AVC video affected by channel errors. NORM works at the receiver side where both the original and the uncorrupted video content is unavailable. We explicitly account for distortion introduced by spatial and temporal error concealment together with the effect of temporal motion-compensation. NORM provides an estimate of the mean square error distortion at the macroblock level, showing good linear correlation (correlation coefficient greater than 0.80) with the distortion computed in full-reference mode. In addition, the estimate at the macroblock level can be successfully exploited by forward quality monitoring systems that compute quality objective metrics to predict mean opinion score (MOS) values. As a proof of concept, we feed the output of NORM to a reduced-reference quality monitoring system that computes an estimate of the structural similarity metric (SSIM) score, which is known to be well correlated with perceptual quality.
69 citations
01 Jul 2014
TL;DR: Experimental results on a state-of-the-art benchmark for background subtraction on real-world video data indicate that the pROST method succeeds at a broad variety of background subtracted scenarios, and it outperforms competing approaches when video quality is deteriorated by camera jitter.
Abstract: An increasing number of methods for background subtraction use Robust PCA to identify sparse foreground objects. While many algorithms use the $$\ell _1$$ l 1 -norm as a convex relaxation of the ideal sparsifying function, we approach the problem with a smoothed $$\ell _p$$ l p -quasi-norm and present pROST, a method for robust online subspace tracking. The algorithm is based on alternating minimization on manifolds. Implemented on a graphics processing unit, it achieves realtime performance at a resolution of $$160 \times 120$$ 160 × 120 . Experimental results on a state-of-the-art benchmark for background subtraction on real-world video data indicate that the method succeeds at a broad variety of background subtraction scenarios, and it outperforms competing approaches when video quality is deteriorated by camera jitter.
69 citations
01 Oct 1998
TL;DR: It has been observed from experimental results that the visual quality of coded low- bit-rate video is significantly improved at the expense of a small increase in decoder's complexity.
Abstract: Fast motion-compensated frame interpolation (FMCI) schemes for the decoder of the block-based video codec operating in low bit rates are examined in this paper. The main objective is to improve the video quality by increasing the frame rate without a substantial increase in the computational complexity. Two FMCI schemes are proposed depending on the motion vector mapping strategy, i.e. the non-deformable and the deformable block-based FMCI schemes. They provide a trade-off of the computational complexity and the visual performance.With proposed schemes, the decoder can perform frame interpolation using motion information received fromthe encoder. The complexity of FMCI is reduced since no additional motion search in the decoder is neededas required by standard MCI. It has been observed from experimental results that the visual quality of coded low-bit-rate video is significantly improved at the expense of a small increase in decoder's complexity. Keywords : motion-compensated frame interpolation ,
69 citations
Patent•
01 Nov 1999
TL;DR: In this paper, the authors propose an apparatus for measuring the quality of a video transmission or storage system when the input and output of the system may be spatially separated, when the apparatus might not have a priori knowledge of the input video, and when there exists an ancillary data channel that can be used by the apparatus.
Abstract: An apparatus for measuring the quality of a video transmission or storage system when the input and output of the system may be spatially separated, when the apparatus might not have a priori knowledge of the input video, and when there exists an ancillary data channel that can be used by the apparatus. The apparatus makes continuous quality measurements by extracting features from sequences of processed input and output video frames, communicating the extracted features between the input and the output ends using an ancillary data channel of arbitrary and possible variable bandwidth, computing individual video quality parameters from the communicated features that are indicative of the various perceptual dimensions of video quality (e.g., spatial, temporal, color), and finally calculating a composite video quality score by combining the individual video quality parameters. The accuracy of the composite video quality score generated by the apparatus depends on the bandwidth of the ancillary data channel used to communicate the extracted features, with higher capacity ancillary data channels producing greater accuracies than lower capacity ancillary data channels.
69 citations