A novel motion classification based intermode selection strategy for HEVC performance improvement

Podder, Pallab Kanti; Paul, Manoranjan; Murshed, Manzur

doi:10.1016/j.neucom.2015.08.079

Cited by 10 publications

(2 citation statements)

References 24 publications

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“…Due to the imbalanced distribution of ECR values Podder et al [13] (also mentioned different thresholds in [17,18]) use a range of thresholds from 0.37 to 0.52 for different bit-rates. Those thresholds could not perform well in the proposed method as the distribution of cost function values is more compact and almost in all cases it exceeds the value of 0.15 in all types of sequences for the blocks with motion and dominant salience.…”

Section: Threshold Determinationmentioning

confidence: 99%

Fast Coding Strategy for HEVC by Motion Features and Saliency Applied on Difference Between Successive Image Blocks

Podder

Paul

Murshed

2016

Image and Video Technology

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Introducing a number of innovative and powerful coding tools, the High Efficiency Video Coding (HEVC) standard promises double compression efficiency, compared to its predecessor H.264, with similar perceptual quality. The increased computational time complexity is an important issue for the video coding research community as well. An attempt to reduce this complexity of HEVC is adopted in this paper, by efficient selection of appropriate block-partitioning modes based on motion features and the saliency applied to the difference between successive image blocks. As this difference gives us the explicit visible motion and salient information, we develop a cost function by combining the motion features and image difference salient feature. The combined features are then converted into area of interest (AOI) based binary pattern for the current block. This pattern is then compared with a previously defined codebook of binary pattern templates for a subset of mode selection. Motion estimation (ME) and motion compensation (MC) are performed only on the selected subset of modes, without exhaustive exploration of all modes available in HEVC. The experimental results reveal a reduction of 42 % encoding time complexity of HEVC encoder with similar subjective and objective image quality.

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Section: Threshold Determinationmentioning

confidence: 99%

Fast Coding Strategy for HEVC by Motion Features and Saliency Applied on Difference Between Successive Image Blocks

Podder

Paul

Murshed

2016

Image and Video Technology

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“…Moreover, when we use joint texture and depth coding, using the above mentioned hierarchical-frame referencing, we introduce more RAFD for decoding. The basic foundation of video codec of 3D-HEVC is HEVC which provides 50% better compression with respect to the H.264/AVC for the same perceptual video quality using 4 times more computational time [25]- [26] to encode a single video. A 3D-HEVC video coder requires huge computational time as it needs to encode multiple texture and depth videos in the same time.…”

Section: Introductionmentioning

confidence: 99%

Joint texture and depth coding using cuboid data compression

Paul

Chakraborty

Murshed

et al. 2015

2015 18th International Conference on Computer and Information Technology (ICCIT)

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The latest multiview video coding (MVC) standards such as 3D-HEVC and H.264/MVC normally encodes texture and depth videos separately. Significant amount of ratedistortion performance and computational performance are sacrificed due to separate encoding due to the lack of exploitation of joint information. Obviously, separate encoding also creates synchronization issue for 3D scene formation in the decoder. Moreover, the hierarchical frame referencing architecture in the MVC creates random access frame delay. In this paper we develop an encoder and decoder framework where we can encode texture and depth video jointly by forming and encoding 3D cuboid using high dimensional entropy coding. The results from our experiments show that our proposed framework outperforms the 3D-HEVC in rate-distortion performance and reduces the computational time significantly by reducing random access frame delay. Keywords-video coding; cuboid; McFIS; dynamic background; mutiview video I.

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

Liu¹,

et al. 2018

Multimed Tools Appl

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A novel motion classification based intermode selection strategy for HEVC performance improvement

Cited by 10 publications

References 24 publications

Fast Coding Strategy for HEVC by Motion Features and Saliency Applied on Difference Between Successive Image Blocks

Fast Coding Strategy for HEVC by Motion Features and Saliency Applied on Difference Between Successive Image Blocks

Joint texture and depth coding using cuboid data compression

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

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