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Paper Detail

Paper ID3D-4.2
Paper Title FAST AND EFFICIENT MICROLENS-BASED MOTION SEARCH FOR PLENOPTIC VIDEO CODING
Authors Thuc Nguyen Huu, Vinh Van Duong, Byeungwoo Jeon, Sungkyunkwan University, Republic of Korea
Session3D-4: 3D Image and Video Processing
LocationArea J
Session Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Poster
Topic Three-Dimensional Image and Video Processing: Light-field Image Processing and Compression
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract The motion estimation which plays an important role in video coding requires much computation for encoding. In this paper, from the ray motion characteristics in the lenslet plenoptic video, we derive a new motion search model and propose a fast and efficient microlens-based motion search method. Theoretical analysis and experimental results have verified the new model and demonstrated its efficiency in search. Under the HEVC random-access configuration, we achieve not only substantial encoding time reduction (56.7%), but also bitrate saving of 1.3% on average compared to relevant existing works. Under the low delay configuration, the performances are 23.3% and 2.3%, respectively for encoding time reduction and bitrate saving.