Video Coding with Superimposed Motion-Compensated Signals

Light field image coding with jointly estimated self-similarity bi-prediction

“…Motivated by the authors' results in [18,19,21], this paper proposes an improved LF image coding solution based on HEVC and a novel Bi-predicted Self-Similarity (Bi-SS) estimation approach using the generic concept of superimposed prediction [33], which allows bi-prediction using samples from the same search area. Therefore, instead of dividing the search are into two non-overlapping parts to derive each predictor block from different MIs (as in [20]), these predictor blocks can be located in the same MI and in overlapped pixel positions.…”

“…To further improve the performance of the proposed Uni-SS LFC solution [19], a novel jointly estimated Bi-SS estimation and compensation scheme, which is based on the generic concept of superimposed prediction [33], is here proposed to replace the aforementioned Uni-SS estimation and compensation processes.…”

“…For this analysis, the performance of the proposed Bi-SS prediction is here modeled by the uncertainty [35] (or inaccuracy [33,38]) in the SS compensated prediction signal.…”

“…In addition, another possibility is to analyze the performance of the Bi-SS compensated prediction by modeling the inaccuracy of each used displacement vector , as in [33,38]. For this, Fig.…”

“…This assumption is reasonable at least for blocks ( ) smaller than the MI resolution, and has been also adopted in [20,39] for LF images. With this assumption, the accuracy of the SS compensation can be measured by the displacement error variance [38], and the same signal model used in [33,38] can also be considered for the SS compensated prediction signal. In this case [33,38], denotes a row vector of impulse responses (ℎ 0 , ℎ 1 , … , ℎ −1 ) of a 2D prediction filter [38], and the residual signal is given by (4),…”