A reduced-reference video quality assessment (VQA) method was proposed by using structural similarity (SSIM) index as a tool to extract features from both the original and the target video sequences, using a reference video pattern. The method is suitable for monitoring the video quality in real time and across the service provision chain. The performance of the proposed method was evaluated using a large experimental set of reference and nonreference video sequences and achieves an accuracy higher than 2.56% in comparison to SSIM. Additionally, comparison to subjectively evaluated scores of Laboratory for Image and Video Engineering video quality dataset, based on difference mean opinion scores, shows that the performance of the proposed method is within the range of the full reference VQA methods.
KEYWORDS: Computer programming, Video, Video processing, Video coding, Video compression, Signal processing, Quantization, Error analysis, Information science, Telecommunications
Between the two main schemes of digital video coding, the variable bit rate (VBR) encoding scheme is generally considered better in terms of efficiency and encoding quality in comparison to the constant bit rate (CBR), because it retains the same quantization parameters for the whole encoding procedure (unconstrained VBR), without altering them according to a specific adaptive rate algorithm. Toward this generally accepted statement, we present a quantitative comparison to the perceptual efficiency of the VBR over the CBR for the Moving Picture Expert Group-4 (MPEG-4) ASP CIF and QCIF encoding sequences, showing that the VBR does not outperform significantly the corresponding CBR encoding quality, since the deduced perceptual advantage/ratio of the VBR over the CBR for the CIF is approximately 4–5% and is constant for all the encoding bit rates greater than 200 kbps, while for the QCIF case the relative ratio drops to approximately 2.5%.
KEYWORDS: Video, Computer programming, Detection and tracking algorithms, Video processing, Motion estimation, Telecommunications, Multimedia, Signal detection, Video coding, Information science
Automatic shot boundary detection is a field, where many techniques and methods have been proposed and have claimed to perform reliably, especially for abrupt scene cut detection. However, all the proposed methods share a common drawback: the necessity of a threshold value, which is used as a reference for detecting scene changes. The determination of the appropriate value or the dynamic reestimation of this threshold parameter remains the most challenging issue for the existing shot boundary detection algorithms. We introduce a novel method for shot boundary detection of discrete cosine transform (DCT)-based and low-bit-rate encoded clips, which exploits the perceptual blockiness effect detection on each frame without using any threshold parameter, therefore minimizing the processing demands required for algorithm implementation.
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