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Full-Reference Quality Assessment for Video Summary
2008 IEEE International Conference on Data Mining Workshops, 2008As video summarization techniques have attracted more and more attention for efficient multimedia data management, quality assessment of video summary is required. To address the lack of automatic evaluation techniques, this paper proposes a novel framework including several new algorithms to assess the quality of the video summary against a given ...
Tongwei Ren, Yan Liu 0004, Gangshan Wu
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No-Reference Quality Assessment for Networked Video via Primary Analysis of Bit Stream
IEEE Transactions on Circuits and Systems for Video Technology, 2010 A no-reference (NR) quality measure for networked video is introduced using information extracted from the compressed bit stream without resorting to complete video decoding.
Fuzheng Yang, Shuai Wan, Hong Ren Wu
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Reduced-Reference Video Quality Assessment of Compressed Video Sequences
IEEE Transactions on Circuits and Systems for Video Technology, 2012In this paper, a novel reduced-reference (RR) video quality assessment (VQA) is proposed by exploiting the spatial information loss and the temporal statistical characteristics of the interframe histogram. From the spatial perspective, an energy variation descriptor (EVD) is proposed to measure the energy change of each individual encoded frame, which ...
Lin Ma 0002, Songnan Li, King Ngi Ngan
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No-Reference Video Shakiness Quality Assessment
2017Video shakiness is a common problem for videos captured by hand-hold devices. How to evaluate the influence of video shakiness on human perception and design an objective quality assessment model is a challenging problem. In this work, we first conduct subjective experiments and construct a data-set with human scores.
Zhaoxiong Cui, Tingting Jiang 0001
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Proceedings. IEEE International Conference on Multimedia and Expo, 2003
There has been an increasing need recently to develop objective quality measurement techniques that can predict perceived video quality automatically. This paper introduces two video quality assessment models. The first one requires the original video as a reference and is a structural distortion measurement based approach, which is different from ...
Ligang Lu +3 more
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There has been an increasing need recently to develop objective quality measurement techniques that can predict perceived video quality automatically. This paper introduces two video quality assessment models. The first one requires the original video as a reference and is a structural distortion measurement based approach, which is different from ...
Ligang Lu +3 more
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A full reference stereoscopic video quality assessment metric
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017We propose a full reference stereo video quality assessment algorithm for assessing the perceptual quality of natural stereo videos. We exploit the separable representation of motion and binocular disparity in the visual cortex and develop a four stage algorithm to measure the quality of a stereoscopic video called FLOSIM3D.
Balasubramanyam Appina +2 more
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No-reference quality assessment of highly compressed video sequences
2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP), 2013In this paper we present a no-reference quality assessment algorithm for highly compressed H.264 videos. By analyzing the spatio-temporal artifacts and their effect on perceived visual quality we produced an array of viable predictors of quality. Using a feature selection method a small sub-set of features, each applied to a specific artefact-domain ...
Martin D. Dimitrievski +1 more
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Efficient Full-Reference Assessment of Image and Video Quality
2007 IEEE International Conference on Image Processing, 2007Automatic quality assessment of digital pictures is a crucial issue in several image and video processing applications including broadcasting, archiving, or restoration. The visibility of impairments related to digital image processing systems is subject to the spatio-temporal properties of the given image or video content.
Patrick Ndjiki-Nya +2 more
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A no-reference video quality assessment metric based on ROI
SPIE Proceedings, 2015A no reference video quality assessment metric based on the region of interest (ROI) was proposed in this paper. In the metric, objective video quality was evaluated by integrating the quality of two compressed artifacts, i.e. blurring distortion and blocking distortion.
Lixiu Jia +3 more
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Deep Neural Networks for No-Reference Video Quality Assessment
2019 IEEE International Conference on Image Processing (ICIP), 2019Video quality assessment (VQA) is a challenging task due to the complexity of modeling perceived quality characteristics in both spatial and temporal domains. A novel no-reference (NR) video quality metric (VQM) is proposed in this paper based on two deep neural networks (NN), namely 3D convolution network (3D-CNN) and a recurrent NN composed of long ...
Junyong You, Jari Korhonen
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