JOINT DISPARITY AND MOTION ESTIMATION USING OPTICAL FLOW FOR MULTIVIEW DISTRIBUTED VIDEO CODING

被引:0
|
作者
Salmistraro, Matteo [1 ]
Raket, Lars Lau [2 ]
Brites, Catarina [3 ]
Ascenso, Joao [3 ]
Forchhammer, Soren [1 ]
机构
[1] Tech Univ Denmark, DTU Foton, Lyngby, Denmark
[2] Univ Copenhagen, DIKU, Copenhagen, Denmark
[3] Inst Super Tecn, Lisbon, Portugal
来源
2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2014年
关键词
Distributed Video Coding; Multiview Video; Disparity Estimation; Motion Estimation; Optical Flow; INFORMATION;
D O I
暂无
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
Distributed Video Coding (DVC) is a video coding paradigm where the source statistics are exploited at the decoder based on the availability of Side Information (SI). In a monoview video codec, the SI is generated by exploiting the temporal redundancy of the video, through motion estimation and compensation techniques. In a multiview scenario, the correlation between views can also be exploited to further enhance the overall Rate-Distortion (RD) performance. Thus, to generate SI in a multiview distributed coding scenario, a joint disparity and motion estimation technique is proposed, based on optical flow. The proposed SI generation algorithm allows for RD improvements up to 10% (Bjontegaard) in bit-rate savings, when compared with block-based SI generation algorithms leveraging temporal and inter-view redundancies.
引用
收藏
页码:286 / 290
页数:5
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