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In recent years the web has evolved from a global information space of linked documents to one where both documents and data are linked. What supports this evolution is a set of best practices in publishing and connecting structured data on the web that is called linked data. The usefulness of linked data relies on how much related concepts are linked together. The aim of this research is to propose...
Cohen's κ coefficient has been widely used for assessing classification results derived from remote sensing data. It however presents several limitations, which are preventing both an efficient use as well as a generalisation of its use. This paper reviews these problems and proposes as an alternative to prefer the Krippendorff's α-coefficient over Cohen's κ. Krippen-dorff's α indeed presents less...
The recent developments of 3D media technology have brought to life numerous applications of interactive entertainment such as 3D cinema, 3DTV and gaming. However, due to the data intensive nature of 3D visual content, a number of research challenges have emerged. In order to optimise the end-to-end content life-cycle, from capture to processing and delivery, Quality of Experience (QoE) has become...
Research on non-intrusive speech quality assessment (SQA) aims to develop a computational model simulating the human perception of speech signals accurately and automatically without any prior information about the reference clean speech signals. In this paper, we propose to learn a non-intrusive SQA metric based on bag-of-words (BoW) representation of speech signals. In particular, the proposed method...
With the effort done by many researchers on 2D image quality assessment, the correlation between subjectivity scores in the databases and the objective scores obtained by current image quality metrics reaches to a high level. However, stereoscopic image quality metrics do not achieve a good performance on 3D image databases. It's important to take advantage of the high efficient 2D image quality metrics...
Many previous works on the stereoscopic image retargeting are proposed. In this paper, we present the first study on objective assessment for stereoscopic image retargeting quality (SIRQ). Firstly, we build a dataset using four kinds of stereoscopic image retargeting methods and conduct a subjective experiment to evaluate the retargeted images according to ITU's recommendations. Then we introduce...
Multiview videos plus depth (MVD) is a popular 3D video representation where pixel depth information is exploited to generate additional views to provide 3D experience. Quality assessment of MVD data is of paramount importance since the latest research results show that existing 2D quality metrics are not suitable for MVD. This paper focuses on depth quality assessment and presents a novel algorithm...
Video Quality Assessment needs to correspond to human perception. Pixel-based metrics (PSNR or MSE) fail in many circumstances for not taking into account the spatio-temporal property of human's visual perception. In this paper we propose a new pixel-weighted method to improve video quality metrics for artifacts evaluation. The method applies a psychovisual model based on motion, level of detail,...
Image quality assessment (IQA) has undergone a booming period during the last decade. Contrast change, being an important type of visual alteration for images, has not been seriously treated yet in the current IQA research. To address this problem, in this paper we propose a new reduced-reference (RR) IQA metric for contrast-changed images by exploiting local similarity information and global statistics...
Subjective evaluation conducted by JCT-VC (Joint Collaborative Team on Video Coding) members shows that H.265/HEVC achieves about 50% rate saving over H.264/AVC without sacrificing subjective quality. In this paper, we study 13 objective image and video quality assessment (IQA/VQA) metrics, including the recently proposed ones — FSIM [1], GMSD [2] and IWSSIM [3], in terms of coding gain prediction...
In this paper a new quality assessment method for stereoscopic image with compression distortion is proposed. This method is designed based on hybrid of 2D image quality metrics and stereoscopic depth map information. The proposed metric is tested on LIVE 3D image database with JPEG and JPEG2000 (JP2K) errors. As a result, this metric has shown an improved performance in assessing perceived quality...
In this paper, video quality assessment (VQA) for compression losses is the main focus. A new method, MD-SSIM (Mean Squared Error Difference SSIM) is used for detecting the spatial distortion. For the temporal part, the differences of the SSIM scores of each frame are used to form the quality scores. In addition, this method has higher computational speed and competent performance as compared to other...
Video delivery performance is the main factor that affects Internet video quality. Characterizing the video delivery performance, especially the delivery throughput, can help content providers as well as Internet service providers (ISPs) in system optimization and network planning. Based on a unique dataset consisting of 20 million video download speed measurements , this paper comprehensively studies...
Software Analytics (SA) is a new branch of big data analytics that has recently emerged (2011). What distinguishes SA from direct software analysis is that it links data mined from many different software artifacts to obtain valuable insights. These insights are useful for the decision-making process throughout the different phases of the software lifecycle. Since SA is currently a hot and promising...
Screen content is typically composed of computer generated text and graphics. The contents shown on the screen exhibit various unnatural properties, such as sharp edges and thin lines with few color variations. In this paper we design a novel structure-induced quality metric (SIQM) for assessing the screen image quality. The proposed SIQM works by weighting the benchmark structural similarity index...
Objective video quality metrics can be viewed as "myopic" expert systems that focus on particular aspects of visual information in video, such as image edges or motion parameters. We conjecture that the combination of many such high-level metrics leads to statistically-significant improvement in the prediction of reference-based perceptual video quality in comparison to each individual metric...
IPTV is a method of delivering TV content to endusers that is growing in popularity. It is a paid service, hence the implications of poor video quality may ultimately be a loss of revenue for the provider. Consequently, it is vital to provide service monitoring and reconfiguration mechanisms to ensure quality requirements set out in service level agreements are upheld. This paper describes our experience...
Lately, several algorithms have been proposed to automatically estimate the quality of video sequences, even some have been included in international standards. However, the majority only provide high performance under particular conditions and with certain types of degradations. Therefore, some proposals have been presented setting out the combination of various quality metrics to improve the performance...
In this paper, we propose a subjective video quality assessment method called video quality ruler (VQR) that can be employed to determine the perceived quality of video sequences. The described method is an extension of the ISO 20462, which is a method to assess image quality. The VQR method provides an interface with a set of pictures. The subjects assess the video using these pictures as a scale...
Three dimensional image quality assessment (3DIQA) is an important issue for three-dimensional video technologies and faces more challenges than its two-dimensional counterparts. In this paper, a novel 3DIQA method is proposed based on human visual system considering the influence of binocular combination between the left and right views of stereo image. To be more specific, difference-of-Gaussian...
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