title: A novel macroblock level rate control method for stereo video coding.
abstract: To compress stereo video effectively, this paper proposes a novel macroblock (MB) level rate control method based on binocular perception. A binocular just-notification difference (BJND) model based on the parallax matching is first used to describe binocular perception. Then, the proposed rate control method is performed in stereo video coding with four levels, namely, view level, group-of-pictures (GOP) level, frame level, and MB level. In the view level, different proportions of bitrates are allocated for the left and right views of stereo video according to the prestatistical rate allocation proportion. In the GOP level, the total number of bitrates allocated to each GOP is computed and the initial quantization parameter of each GOP is set. In the frame level, the target bits allocated to each frame are computed. In the MB level, visual perception factor, which is measured by the BJND value of MB, is used to adjust the MB level bit allocation, so that the rate control results in line with the human visual characteristics. Experimental results show that the proposed method can control the bitrate more accurately and get better subjective quality of stereo video, compared with other methods.
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Gaofeng
authors.initials: G
authors.lastname: Zhu
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Mei
authors.identifier: 0000-0003-3583-1587
authors.initials: M
authors.lastname: Yu
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Gangyi
authors.initials: G
authors.lastname: Jiang
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Zongju
authors.initials: Z
authors.lastname: Peng
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Shao
authors.affiliation: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China.
authors.forename: Fen
authors.initials: F
authors.lastname: Chen
authors.affiliation: Deptartment of Information and Communication, Gwangju Institute of Science and Technology, Gwangju 500-712, Republic of Korea.
authors.forename: Yo-Sung
authors.initials: YS
authors.lastname: Ho
mesh_terms: D000465:Algorithms; D032701:Biomimetics / Q000379:methods*; D044962:Data Compression / Q000379:methods*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014741:Video Recording / Q000379:methods*; D014796:Visual Perception