Coding of multiple video&amp;#x002B;depth using HEVC technology and reduced representations of side views and depth maps

Domański, Marek; Grajek, Tomasz; Karwowski, Damian; Konieczny, Jacek; Kurc, Maciej; Luczak, Adam; Ratajczak, Robert; Siast, Jakub; Stankiewicz, Olgierd; Stankowski, Jakub; Wegner, Krzysztof

doi:10.1109/pcs.2012.6213272

Cited by 12 publications

(6 citation statements)

References 2 publications

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“…This proposal used advanced prediction methods, encoder controls and depth modelling. According to [11], the prediction methods were designed to be very efficient since the side views and their depth maps were predicted from the base view and its depth map. In [12], intercomponent prediction was exploited, where non-rectangular partitions in depth maps were predicted.…”

Section: B High Efficiency Video Coding (Hevc)mentioning

confidence: 99%

Multiview plus depth video using High Efficiency Video Coding method

Noor

Karim

Arif

et al. 2013

2013 IEEE International Conference on Signal and Image Processing Applications

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The main problem associated with 3D video delivery is huge data transmission rate especially when the data to be submitted are large video files such as multiview plus depth videos. This paper describes a new method of compression for multiview videos with depth data by using the new High Efficiency Video Coding (HEVC) technology. We propose a new compression method by applying the Reduced Resolution Depth Coding (RRDC) method to the depth videos. RRDC is applied by Down-Sampling and Up-Sampling (DSUS) the depth data of the multiview videos. The depth data is down-sampled before HEVC encoding and up-sampled after HEVC decoding operation. The proposed depth compression method used with HEVC showed a 20% savings at low bit rate when tested with 2 views plus depth video sequence.

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Section: B High Efficiency Video Coding (Hevc)mentioning

confidence: 99%

Multiview plus depth video using High Efficiency Video Coding method

Noor

Karim

Arif

et al. 2013

2013 IEEE International Conference on Signal and Image Processing Applications

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“…Another option is to use simulcast, which has no interview predictions but can be implemented with multithreading. However, it has a lower bitrate than MV-HEVC [10]. Therefore, it is inefficient for compressing multi-view video sequences.…”

Section: Introductionmentioning

confidence: 99%

“…When we use a SIMD type of CPU, the instruction decoding process for several parts of the memory involves one-time access to all the operations. This feature makes SIMD particularly suitable for data-intensive operations such as multimedia applications [13]. In this paper, we show how to build a codec model for multi-threading.…”

Section: Introductionmentioning

confidence: 99%

A novel architecture for parallel multi-view HEVC decoder on mobile device

Liu

Cho

2017

J Image Video Proc.

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The multi-view HEVC (MV-HEVC) extension was finalized in July of 2014 by the Moving Picture Experts Group and the Video Coding Experts Group. Recently, multi-view videos based on stereo representations are becoming widely popular. Also, a variety of multimedia contents are now available for mobile devices. A real-time multi-view video decoder is therefore needed. In mobile devices, a real-time decoding multi-view video is difficult because of the increasing number of views, spatial resolutions, and limited speed of the processors on mobile platforms. In this paper, we propose a novel architecture for a real-time decoder in mobile devices. The proposed MV-HEVC decoder uses parallel-optimized multi-view video decoding with multi-threading, using advanced reduced instruction set computer machine (ARM) Cortex multi-core processors. Moreover, it is optimized in single instruction multiple data for an ARM platform. The proposed multi-core decoding architectures enable multi-threading with minimum processing overhead. Experimental results show that the proposed multi-view video coding increased the speed by around 2.4-4.8 times in the ARM platform compared to MV-HEVC.

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“…From the perspective of syntax extension, it is sufficient to change the high-level syntax without changing the low-level syntax, semantics, and decoding process for a blocklevel coding tool. DCP was inceptively adopted in Multi-view Video Coding (MVC) [2], which is an extension of Advanced Video Coding /H.264 [3], and the HEVC extension to multiple views (MV-HEVC) [4], which is an extension of High Efficiency Video Coding (HEVC)/H.265 [5]. These extension standards have been called frame-compatible formats.…”

Section: Introductionmentioning

confidence: 99%

Reusable HEVC Design in 3D-HEVC

Heo¹,

Bang²,

Park³

2016

ETRI J

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This paper proposes a reusable design for the merging process used in three‐dimensional High Efficiency Video Coding (3D‐HEVC), which can significantly reduce the implementation complexity by eliminating duplicated module redundancies. The majority of inter‐prediction coding tools used in 3D‐HEVC are utilized through a merge mode, whose extended merging process is based on built‐in integration to completely wrap around the HEVC merging process. Consequently, the implementation complexity is unavoidably very high. To facilitate easy market implementation, the design of a legacy codec should be reused in an extended codec if possible. The proposed 3D‐HEVC merging process is divided into the base merging process of reusing HEVC modules and reprocessing process of refining the existing processes that have been newly introduced or modified for 3D‐HEVC. To create a reusable design, the causal and mutual dependencies between the newly added modules for 3D‐HEVC and the reused HEVC modules are eliminated, and the ineffective methods are simplified. In an application of the proposed reusable design, the duplicated reimplementation of HEVC modules, which account for 50.7% of the 3D‐HEVC merging process, can be eliminated while maintaining the same coding efficiency. The proposed method has been adopted as a normative coding tool in the 3D‐HEVC international standard.

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Coding of multiple video+depth using HEVC technology and reduced representations of side views and depth maps

Cited by 12 publications

References 2 publications

Multiview plus depth video using High Efficiency Video Coding method

Multiview plus depth video using High Efficiency Video Coding method

A novel architecture for parallel multi-view HEVC decoder on mobile device

Reusable HEVC Design in 3D-HEVC

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