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In 3D video (3DV) and free-viewpoint video (FVV), it is vitally important to detect the errors and assess depth quality. However, since ground-truth depth maps are often unattainable, assessing depth quality without reference becomes an imperative task for many applications. This research considers the texture-plus-depth format in 3DV and FVV, and focuses on the misalignment error at depth discontinuities...
Video quality evaluation is an important subject in video broadcasting. No-Reference (NR) metrics are especially interesting, given that it does not demand the original video for the quality assessment, thus it is adequate for industrial applications. This work describes the implementation of a NR technique in an FPGA platform that can be potentially employed in real time video quality assessment...
Quality assessment of digital compound images is a less investigated research topic. In this paper, we present a study for subjective quality assessment of Digital Compound Images (DCIs), and investigate whether existing Image Quality Assessment (IQA) methods are effective to evaluate the quality of distorted DCIs. A new Compound Image Quality Assessment Database (CIQAD) is constructed, including...
Image denoising has been fanatically researched for a very long time in that it is a commonplace yet important subject. The task to testify the performance of different image de-noising methods always resorts to PSNR in the past, until the emergence of SSIM, a landmark image quality assessment (IQA) metric. Since then, a vast majority of IQA methods were introduced in terms of various kinds of models...
With the rapid growth in video-based services, and as users are becoming increasingly quality-aware, the reliable estimation of video quality has become extremely important. While a multitude of objective Video Quality Assessment (VQA) metrics with various performance and complexity have been proposed, the nonlinearity of video quality and the lack of clear interpretations of the metrics make difficult...
Finding the correlation among Quality of Experience (QoE) for video, measured Quality of Service (QoS) parameters in the network, and objective video performance metrics is a challenging task. This paper provides some analysis results on this issue. Our motivation is that streaming media content gets dominant position in the global traffic mix within the next few years. With the evolution of personal...
3-Dimensional (3D) Video Quality Assessment (VQA) has been an important area for today's researchers along with the growing interest in 3D video. Even though, 2-Dimensional (2D) objective VQA metrics that are widely utilized by researchers in literature, the case is not the same for the 3D video. Therefore, subjective tests, which are inefficient in terms of time and cost are used for the 3D VQA....
In the last two decades the Internet technology has boosted and the connection speeds have been incrased from kilobits to hundred megabits scale. With the rising coverage of the Internet and the usage of mobile devices such as tablets and smart phones, the usage of social media and especially multimedia elements has been increased rapidly. This increment in streaming multimedia created a need for...
The objective approaches of 3D image quality assessment play a key role in the development of compression standards and various 3D multimedia applications. The quality assessment of 3D images faces many new challenges, e.g. asymmetric stereo compression, depth perception, and virtual view synthesis, as compared with its 2D counterparts. Moreover, the widely used 2D image quality metric (e.g. PSNR)...
This work describes a comparative study on the ability of Full-Reference versus No-Reference quality metrics to measure the Quality of Experience created by images that suffer chromatic variations. Considering this, some well known Full-Reference (PSNR, UQI, MSSIM) and No-Reference (GM, FTM, RTBM) will be compared with the MOS results. Although the quality metrics considered are usually applied to...
Video databases often focus on a particular use case with a limited set of sequences. In this paper, a different type of database creation is proposed: an exhaustive number of test conditions will be continuously created and made freely available for objective and subjective evaluation. At the moment, the database comprises more than ten thousand JM/x264-encoded video sequences. An extensive study...
Indirect metrics in quality models define weighted integrations of direct metrics to provide higher-level quality indicators. This paper presents a case study that investigates to what degree quality models depend on statistical assumptions about the distribution of direct metrics values when these are integrated and aggregated. We vary the normalization used by the quality assessment efforts of three...
A review of HEVC/H.265 main characteristics and some tendencies of video coding standard evolution are given. Some ideas how to improve the efficiency of video coding method are presented. The importance of proper video quality assessment for user friendly video codecs design is emphasized.
Perception based coding with Texture Analysis and Synthesis (TAS) is a promising way to increase the compression efficiency of modern coding schemes, such as High Efficiency Video Coding (HEVC). TAS approaches typically employ an analysis step which specifies which blocks could be reconstructed by a texture synthesizer. Even though synthesized blocks are perceptually similar to their original versions,...
We present in this paper some lightweight metrics for quality assessment of fingerprint samples captured from a general-purposed optical camera using block-based autocorrelation and fast Walsh-Hadamard spectrum features. We generate a feature vector including 6 components in three categories to assess an image block's quality: (1) gray-scale values statistics, (2) autocorrelation based features, (3)...
This paper presents a reduced-reference nonlinear model driven image quality scheme that is based on a Neural Network statistical estimator, namely Multilayer Perceptrons (MLP) and that is optimized to the Mean Opinion Score (MOS) scale for the combination of input different objective quality measures. In order to examine the performance of the models and identification of how well the model estimates...
Scalable video coding is emerging as an efficient alternative to simulcast encoding to distribute the same video content simultaneously to many users having different terminals and network conditions. In order to select the best combination of video scalability options for a given network condition and content, the availability of objective metrics that can reliably predict the video quality of scalable...
This paper describes a quality assessment model for perceptual video compression applications (PVM), which stimulates visual masking and distortion-artefact perception using an adaptive combination of noticeable distortions and blurring artefacts. The method shows significant improvement over existing quality metrics based on the VQEG database, and provides compatibility with in-loop rate-quality...
It is widely known that, for most natural images, appropriate contrast enhancement can usually lead to improved subjective quality. Despite of its importance to image processing, contrast change has largely been overlooked in the current research of image quality assessment (IQA). To fill this void, in this paper we first report a new and dedicated contrast-changed image database (CID2013). The CID2013...
Stereo matching has a long history in image processing and computer vision. In fact, there are inumerous approaches reported in the literature, and quantitative evaluation is usually performed by comparing the obtained disparity maps with ground truth data (using the MSE, for instance). One important application of stereo matching is view interpolation, where it is desired to produce a new synthetic...
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