Consistent Visual Quality Control in Video Coding

被引:21
|
作者
Xu, Long [1 ]
Li, Songnan [2 ]
Ngan, King Ngi [3 ]
Ma, Lin [3 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[2] Chinese Univ Hong Kong, Shatin, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Dept Elect Engn, Shatin, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Consistent visual quality; video coding; video quality assessment (VQA); window model; window-level rate control; MEAN SQUARED ERROR; STRUCTURAL SIMILARITY; MODEL;
D O I
10.1109/TCSVT.2013.2243657
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Visual quality consistency is one of the most important issues in video quality assessment. When people view a sequential video, they may have an unpleasant perceptual experience if the video has an inconsistent visual quality even though the average visual quality of the video is not compromised. Thus, consistent visual quality control is mostly expected in general video encoding with limited channel bandwidth and buffer resources. However, there still has not been enough study on such an issue. In this paper, a new objective visual quality metric (VQM) is proposed first, which can easily be incorporated into video coding for guiding video coding. Second, a VQM-based window model is proposed to handle the tradeoff between visual quality consistency and buffer constraint in video coding. Third, a window-level rate control algorithm is developed to accomplish visual quality control based on the above two proposals. Finally, experimental results prove that consistent visual quality, high rate-distortion efficiency, accurate bit control, and compliant buffer constraint can be achieved by the proposed rate control algorithm.
引用
收藏
页码:975 / 989
页数:15
相关论文
共 50 条
  • [1] Video Quality Metric for Consistent Visual Quality Control in Video Coding
    Xu, Long
    Ngan, King Ngi
    Li, Song Nan
    Ma, Lin
    [J]. 2012 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2012,
  • [2] Consistent Picture Quality Control Strategy for Dependent Video Coding
    Huang, Kao-Lung
    Hang, Hsueh-Ming
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2009, 18 (05) : 1004 - 1014
  • [3] Rate Control for Consistent Objective Quality in High Efficiency Video Coding
    Seo, Chan-Won
    Moon, Joo-Hee
    Han, Jong-Ki
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (06) : 2442 - 2454
  • [4] Consistent Video Quality Control in Scalable Video Coding Using Dependent Distortion Quantization Model
    Hou, Junhui
    Wan, Shuai
    Ma, Zhan
    Chau, Lap-Pui
    [J]. IEEE TRANSACTIONS ON BROADCASTING, 2013, 59 (04) : 717 - 724
  • [5] Consistent-quality distributed video coding framework
    Wu, Geming
    Sun, Lifeng
    Huang, Feng
    [J]. ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2007, 2007, 4810 : 628 - +
  • [6] The Coding Rate Control of Consistent Perceptual Video Quality in H.264 ROI
    Jin, Ran
    Chen, Jian
    [J]. 2009 INTERNATIONAL SYMPOSIUM ON COMPUTER NETWORK AND MULTIMEDIA TECHNOLOGY (CNMT 2009), VOLUMES 1 AND 2, 2009, : 1060 - 1063
  • [7] VISUAL QUALITY METRIC FOR PERCEPTUAL VIDEO CODING
    Xu, Long
    Ma, Lin
    Ngan, King Ngi
    Lin, Weisi
    Weng, Ying
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013), 2013,
  • [8] Adaptive Bit Allocation for Consistent Video Quality in Scalable High Efficiency Video Coding
    Yang, Shih-Hsuan
    Phuong Binh Vo
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 27 (07) : 1555 - 1567
  • [9] A Novel Consistent Quality Driven for JEM Based Distributed Video Coding
    Dinh Trieu Duong
    Huy Phi Cong
    Xiem Hoang Van
    [J]. ALGORITHMS, 2019, 12 (07):
  • [10] Learning Adaptive Quantization Parameter for Consistent Quality Oriented Video Coding
    Vu, Tien Huu
    Do, Minh Ngoc
    Nguyen, Sang Quang
    PhiCong, Huy
    Sisouvong, Thipphaphone
    HoangVan, Xiem
    [J]. ELECTRONICS, 2023, 12 (24)