Standardized Extensions of High Efficiency Video Coding (HEVC)

Sullivan, Gary J.; Boyce, Jill M.; Chen, Ying; Ohm, Jens-Rainer; Segall, C.A.; Vetro, Anthony

doi:10.1109/jstsp.2013.2283657

Cited by 351 publications

(171 citation statements)

References 17 publications

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“…For example, where 4:2:0 chroma subsampling is acceptable for natural images, screen content gets deformed noticeably by such color downscaling. Additionally, compression tools [40] have been developed for such content, so even more options become available for the codec developer.…”

Section: Typical Application Scope Examplesmentioning

confidence: 99%

Objective Video Quality Assessment — Towards Large Scale Video Database Enhanced Model Development

Barkowsky

Masala

Wallendael

et al. 2015

IEICE Trans. Commun.

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SUMMARYThe current development of video quality assessment algorithms suffers from the lack of available video sequences for training, verification and validation to determine and enhance the algorithm's application scope. The Joint Effort Group of the Video Quality Experts Group (VQEG-JEG) is currently driving efforts towards the creation of large scale, reproducible, and easy to use databases. These databases will contain bitstreams of recent video encoders (H.264, H.265), packet loss impairment patterns and impaired bitstreams, pre-parsed bitstream information into files in XML syntax, and well-known objective video quality measurement outputs. The database is continuously updated and enlarged using reproducible processing chains. Currently, more than 70,000 sequences are available for statistical analysis of video quality measurement algorithms. New research questions are posed as the database is designed to verify and validate models on a very large scale, testing and validating various scopes of applications, while subjective assessment has to be limited to a comparably small subset of the database. Special focus is given on the principles guiding the database development, and some results are given to illustrate the practical usefulness of such a database with respect to the detailed new research questions. key words: video quality assessment, large scale database, reproducible research

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Section: Typical Application Scope Examplesmentioning

confidence: 99%

Objective Video Quality Assessment — Towards Large Scale Video Database Enhanced Model Development

Barkowsky

Masala

Wallendael

et al. 2015

IEICE Trans. Commun.

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“…It operates in the compressed domain and generates a single H.265/HEVC [26] bitstream (or H.265/SHVC [25] or H.265/MV-HEVC [25]) that can be fed into a single hardware decoder. The novel method processes the video bitstreams of the different tiles in the compressed domain, by performing a simple manipulation of some information in the header.…”

Section: Introductionmentioning

confidence: 99%

Video processing for panoramic streaming using HEVC and its scalable extensions

Fuente

Skupin

Schierl

2016

Multimed Tools Appl

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Panoramic streaming is a particular way of video streaming where an arbitrary Region-of-Interest (RoI) is transmitted from a high-spatial resolution video, i.e. a video covering a very Bwide-angle^(much larger than the human field-of-view -e.g. 360°). Some transport schemes for panoramic video delivery have been proposed and demonstrated within the past decade, which allow users to navigate interactively within the high-resolution videos. With the recent advances of head mounted displays, consumers may soon have immersive and sufficiently convenient end devices at reach, which could lead to an increasing demand for panoramic video experiences. The solution proposed within this paper is built upon tile-based panoramic streaming, where users receive a set of tiles that match their RoI, and consists in a low-complexity compressed domain video processing technique for using H.265/HEVC and its scalable extensions (H.265/SHVC and H.265/MV-HEVC). The proposed technique generates a single video bitstream out of the selected tiles so that a single hardware decoder can be used. It overcomes the scalability issue of previous solutions not using tiles and the battery consumption issue inherent of tile-based panorama streaming, where multiple parallel software decoders are used. In addition, the described technique is capable of reducing peak streaming bitrate during changes of the RoI, which is crucial for allowing a truly immersive and low latency video experience. Besides, it makes it possible to use Open GOP structures without incurring any playback interruption at switching events, which provides a better compression efficiency compared to closed GOP structures.

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“…There are several new intra coding tools that are under consideration for the Screen Content Coding extension of HEVC [7]. Screen content, such as maps, text and graphics, have different characteristics from camera-captured images with patterns that tend to be clean and repetitive in texture.…”

Section: Introductionmentioning

confidence: 99%

Rotate intra block copy for still image coding

Zhang

Sze

2015

2015 IEEE International Conference on Image Processing (ICIP)

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This paper proposes a method called rotate intra block copy, which extends the intra block copy technique by making the block matching process invariant to rotation. HEVC intra prediction plus rotate intra block copy gives an average of 20% reduction in residual energy (i.e. prediction error) compared to HEVC intra prediction plus intra block copy. As the motion vector correlation in rotate intra block copy is different from the intra block copy, a new method of motion vector coding is presented. The impact of angular resolution on residual energy reduction is also evaluated. In a full codec pipeline, this reduction in residual energy translates into a coding gain in BD-rate of 3.4% over HEVC intra prediction plus intra block copy for both screen content and camera-captured gray scale images.

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Standardized Extensions of High Efficiency Video Coding (HEVC)

Cited by 351 publications

References 17 publications

Objective Video Quality Assessment — Towards Large Scale Video Database Enhanced Model Development

Objective Video Quality Assessment — Towards Large Scale Video Database Enhanced Model Development

Video processing for panoramic streaming using HEVC and its scalable extensions

Rotate intra block copy for still image coding

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