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Recently, it was demonstrated that a newly focused plenoptic 2.0 camera cancapture much higher spatial resolution owing to its effective light fieldsampling, as compared to a traditional unfocused plenoptic 1.0 camera. However,due to the nature difference of the optical structure between the plenoptic 1.0and 2.0 cameras, the existing fast motion estimation (ME) method for plenoptic1.0 videos is expected to be sub-optimal for encoding plenoptic 2.0 videos. Inthis paper, we point out the main motion characteristic differences betweenplenoptic 1.0 and 2.0 videos and then propose a new fast ME, called macropixelcollocated position and its neighbors search (MCPNS) for plenoptic 2.0 videos.In detail, we propose to reduce the number of macropixel collocated position(MCP) search candidates based on the new observation of center-biased motionvector distribution at macropixel resolution. After that, due to large motiondeviation behavior around each MCP location in plenoptic 2.0 videos, we proposeto select a certain number of key MCP locations with the lowest matching costto perform the neighbors MCP search to improve the motion search accuracy.Different from existing methods, our method can achieve better performancewithout requiring prior knowledge of microlens array orientations. Oursimulation results confirmed the effectiveness of the proposed algorithm interms of both bitrate savings and computational costs compared to existingmethods.

MCPNS: A Macropixel Collocated Position and Its Neighbors Search for Plenoptic 2.0 Video Coding