Hybrid linear weighted prediction and intra block copy based light field image coding

Liu, Deyang; An, Ping; Ma, Ran; Shen, Liquan

doi:10.1007/s11042-018-6255-3

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…Liu et al propose an HEVC scalable coding approach (HEVC-SC) by using a sparse interlaced view image set and disparity maps [13]. A hybrid linear weighted prediction scheme for coding light field images using the screen content coding extension of HEVC (HEVC-SCC) is proposed in [14].…”

Section: Related Workmentioning

confidence: 99%

Random access prediction structures for light field video coding with MV-HEVC

Avramelos

Praeter

Wallendael

et al. 2020

Multimed Tools Appl

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Computational imaging and light field technology promise to deliver the required six-degrees-of-freedom for natural scenes in virtual reality. Already existing extensions of standardized video coding formats, such as multi-view coding and multi-view plus depth, are the most conventional light field video coding solutions at the moment. The latest multi-view coding format, which is a direct extension of the high efficiency video coding (HEVC) standard, is called multi-view HEVC (or MV-HEVC). MV-HEVC treats each light field view as a separate video sequence, and uses syntax elements similar to standard HEVC for exploiting redundancies between neighboring views. To achieve this, interview and temporal prediction schemes are deployed with the aim to find the most optimal trade-off between coding performance and reconstruction quality. The number of possible prediction structures is unlimited and many of them are proposed in the literature. Although some of them are efficient in terms of compression ratio, they complicate random access due to the dependencies on previously decoded pixels or frames. Random access is an important feature in video delivery, and a crucial requirement in multiview video coding. In this work, we propose and compare different prediction structures for coding light field video using MV-HEVC with a focus on both compression efficiency and random accessibility. Experiments on three different short-baseline light field video sequences show the trade-off between bit-rate and distortion, as well as the average number of decoded views/frames, necessary for displaying any random frame at any time instance. The findings of this work indicate the most appropriate prediction structure depending on the available bandwidth and the required degree of random access. Keywords Light field video coding • multi-view video coding • MV-HEVC • prediction structures • random access • virtual reality • free navigation

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Section: Related Workmentioning

confidence: 99%

Random access prediction structures for light field video coding with MV-HEVC

Avramelos

Praeter

Wallendael

et al. 2020

Multimed Tools Appl

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Learning-based high-efficiency compression framework for light field videos

Wang

et al. 2022

Multimed Tools Appl

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CTU Layer Rate Control Algorithm in Scene Change Video for Free-Viewpoint Video

et al. 2020

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At present, the rate control algorithm for multiview high-efficiency video coding (MV-HEVC) does not have the capability of efficient coding tree unit(CTU) layer bit allocation, and the video quality varies greatly for sequences with sudden scene changes or large motions. To overcome this limitation, this paper proposes a rate control algorithm for MV-HEVC based on scene detection. Firstly, we established ρ domain rate control model based on multi-objective optimization. Then, it uses image similarity to make reasonable bit allocation among viewpoints. If the video scene is switched, the image similarity is recalculated, and then the correlation between the weights of the interview point rates and the correlation between the viewpoints are analyzed. Finally, the frame layer rate control considers the layer B-frame and other factors in allocating the code rate, and the basic unit layer rate control adopts different quantization methods according to the content complexity of the CTU. Experimental results show that the proposed rate control algorithm can maintain good coding efficiency and decrease the average video quality variation by 25.29%.

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Hybrid linear weighted prediction and intra block copy based light field image coding

Cited by 4 publications

References 31 publications

Random access prediction structures for light field video coding with MV-HEVC

Random access prediction structures for light field video coding with MV-HEVC

Learning-based high-efficiency compression framework for light field videos

CTU Layer Rate Control Algorithm in Scene Change Video for Free-Viewpoint Video

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