Quality of experience measurement of compressed multi-view video

WOS: 000412265100015Quality of Experience (QoE) measurement in stereoscopic 3D is a challenging topic and existing standards such as ITU-R BT.500 may no longer be adequate for reliability and efficiency. Yet, objective measurement of QoE is not well researched for 3D images and videos. We present a new subjective assessment methodology providing better time-efficiency and more accurate scores at the same or even less number of assessors, using new objective metrics for QoE measurement of compressed multi-view video. Our research focus is twofold. First, the novel subjective testing methodology is developed, and QoE of different multi-view video compression technologies is evaluated. A time-efficient solution is proposed as a multiple stimuli plus simultaneous presentation extension of the conventional Double Stimulus Continuous Quality Scale (DSCQS) method. Second, objective quality metrics are proposed based on structural similarity and depth maps. Experiments are conducted on an auto-stereoscopic display while H.264/MPEG-4 Advanced Video Coding (AVC)- and High Efficiency Video Coding (HEVC)-based encoders are used for compression. The results demonstrate that the new methodology is superior to the DSCQS method in terms of both evaluation time and accuracy. Furthermore, high correlation is achieved with the new objective quality metrics. (C) 2017 Elsevier B.V. All rights reserved.Ege UniversityEge University [2013MUH-054]This project was funded by Ege University under the project 2013MUH-054. We thank Tridelity and the owners of the test sequences: the Tanimoto Laboratory of Nagoya University, Nokia, and Poznan University of Technology. We thank the reviewers for their insightful comments and valuable suggestions

SSIM-based adaptation for DASH with SVC in mobile networks

WOS: 000515952200002Dynamic Adaptive Streaming over HTTP (DASH) depends on adjustment of the quality of a video stream to the available network conditions. in order to increase Quality of Experience, average video quality should be maximized, while keeping the quality switching frequency at low levels. However, achieving high average quality with low switching frequency in highly fluctuating mobile network conditions is a tricky optimization problem. in order to overcome this problem, dynamic structure of Scalable Video Coding (SVC) is utilized in this paper. Another challenge in the quality adaptation algorithms is to proper assessment of the video quality. Most of the adaptation algorithms takes either bitrate or representation level as the input that is used to evaluate the quality of the video. However, bitrate is not strongly correlated with the quality, as it depends on the content of the video. Likewise, representation quality relationship entirely bound to encoding. in this paper, in order to have a more reliable adaptation input, SSIM is used while representing the quality of the video stream. the proposed adaptation is compared with a successful SVC DASH adaptation algorithm using both subjective and objective tests. As a result, considerably higher scores are achieved in terms of both switching frequency and average quality

Time-efficient evaluation of adaptation algorithms for DASH with SVC: dataset, throughput generation and stream simulator

Bitrate adaptation algorithms have received considerable attention recently. In order to evaluate these algorithms objectively, multiple DASH datasets have been proposed. However, only few of them are compatible to SVC-based adaptation algorithms. Apart from the dataset, to fully implement and evaluate an adaptation algorithm, many time-consuming steps are required such as MPD parser design, adaptation logic design and network environment setup. In this paper, a dash simulator which assesses the performance of SVC-based adaptation algorithms without the requirement of any additional implementation steps is proposed. Also, an SVC dataset that includes both CBR and VBR encoded videos is designed. Demonstration is performed as evaluation of an SVC-based adaptation algorithm under several throughput scenarios using the designed dataset. Results show that the proposed system considerably reduces time requirement compared to real-time assessment. Dataset, throughput generation tool and simulator are all publicly available so that the researchers can test their implementation and compare with the results presented in this paper

CONTENT-AWARE PARAMETER SELECTION FOR HEVC DEBLOCKING FILTER

24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYWOS: 000391250900280The deblocking filter in the upcoming High Efficiency Video Coding (HEVC) standard improves both subjective and objective quality of the coded video sequences. Since different video sequences have different characteristics, deblocking strength should be adjusted on a sequence and even on a picture or slice basis for perceptual optimization. In this paper, we do first blind search in all possible values of the two offset parameters of the deblocking filter and then find optimal offset values heuristically for four different video sequences. Subjective tests show that with the best offsets visual artifacts reduced significantly when compared to the worst offsets and blockiness measure is promising to find the best offset.IEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Eng

Perceptual Quality Assessment of JMVC-Encoded Multi-View Videos on Autostereoscopic 3DTVs

24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYWOS: 000391250900238Autostereoscopic 3D is the presentation of depth perception to viewer without eye glasses. The content watched on an autostereoscopic 3DTV, is called multi-view video. A preparation process, referred to as "interleaving", "interzigging", or "multiplexing", is applied to this type of content before being watched on an autoestereoscopic 3DTV. Bitrate requirement of Multi-View Videos is increased due to number of videos. To reduce this increase, MVC extension of H.264/AVC makes use of similarity of views. In this work, a program that processes multi-view videos for available autostereoscopic 3DTV is developed. In order to investigate the effect of different compression qualities on viewer liking, subjective tests are performed according to DSCQS method. Test results are evaluated in order to determine a compression quality that does not effect viewer liking but helps to reduce bitrate required.IEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Eng

Scalable multi-view video coding for interactive 3DTV

A standard for scalable video coding (SVC) is currently being worked on by the ISO MPEG Group. Work on standardization of multiple-view video coding (MVC) has also recently started under the ISO MPEG. Although there are many approaches published on SVC and MVC, there is no current work reported on scalable multi-view video coding (SMVC). This paper presents new coding structures for scalable stereo and multi-view video coding. The proposed structures are implemented as extensions to the JSVM software and resulting bitrates and PSNR are demonstrated. SMVC can be used for transport of multiview video over IP for interactive 3DTV by dynamic adaptive combination of temporal, spatial, and SNR scalability according to network conditions. 1