Search Results for "JVET-C0071"

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3rd Meeting: Geneva, May 2016 2016-05-26 16:22

Abstract not available in document

JVET-C0071 Multiple line-based intra prediction [J. Li (Peking Univ.), B. Li, J. Xu (Microsoft), R. Xiong (Peking Univ.), G. J. Sullivan (Microsoft)] [late]

This was presented Sun. morning (chaired by JRO).

This document presents a multiple line-based intra prediction method. In the proposed method, not just the nearest reference line but also further reference lines are utilized in intra prediction. The prediction generated from a further reference line will compete with the prediction generated from the nearest reference line in order to choose the best prediction for each CU. When a further reference line is used, a residue compensation procedure is introduced to further refine the prediction. In addition, this proposal also includes several optional acceleration algorithms to mitigate the encoding complexity. The proposed method is integrated on top of JEM-2.0, and the experimental results reportedly show that for all-intra coding, the fast version of the proposed scheme saves 0.9% bits on average, while increasing encoding time about 66%.

This is imilar to C0043 (using up to four lines/columns), with additional residue compensation to avoid discontinuities. With full search, the encoding runtime goes up to approximately 250%, BD-rate reduction is 1.1% in AI.

Some RD penalty is introduced for farther lines in the encoding selection process.

Investigate in an EE (along with C0043) was planned. In addition to the information already mentioned under C0043, it was requested to investigate the benefit of residual compensation, which would introduce some additional decoder...

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Investigate in an EE (along with C0043) was planned. In addition to the information already mentioned under C0043, it was requested to investigate the benefit of residual compensation, which would introduce some additional decoder complexity.
Citation
3rd Meeting: Geneva, May 2016 2016-05-28 09:54

Abstract not available in document

JVET-C0096 Cross-check of JVET-C0071 (Multiple line-based intra prediction) [L. Zhang, V. Seregin (Qualcomm)] [late]
References:
JVET-C0071
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JVET-C0096 Cross-check of JVET-C0071 (Multiple line-based intra prediction) [L. Zhang, V. Seregin (Qualcomm)] [late]
Citation
3rd Meeting: Geneva, May 2016 2016-05-25 21:29

Abstract not available in document

JVET-C0097 Cross-check of JVET-C0071 (Multiple line-based intra prediction) [P.-H. Lin, Y.-J. Chang, J.-S. Tu, C.-C. Lin, C.-L. Lin (ITRI)] [late]

Partitioning (3)

References:
JVET-C0071
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Partitioning (3)
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3rd Meeting: Geneva, May 2016 2016-05-24 10:58

Abstract not available in document

JVET-C0082 Cross-check of JVET-C0071 (Multiple line-based intra prediction) [T. Ikai (Sharp)] [late]
References:
JVET-C0071
Decisions
JVET-C0082 Cross-check of JVET-C0071 (Multiple line-based intra prediction) [T. Ikai (Sharp)] [late]
Citation
4th Meeting: Chengdu, October 2016 2016-10-08 03:57

Abstract not available in document

JVET-D0149 EE6: Multiple line-based intra prediction [J. Li (Peking Univ.), B. Li, J. Xu (Microsoft Corp.), R. Xiong (Peking Univ.)] [late] The multiple line-based intra prediction scheme has been proposed in JVET-C0071. This document provides test results of EE 6 experiments (extended intra prediction reference).
Decisions
The multiple line-based intra prediction scheme has been proposed in JVET-C0071. This document provides test results of EE 6 experiments (extended intra prediction reference).
Citation
3rd Meeting: Geneva, May 2016 2016-07-01 14:13
Abstract
Documents describes Exploration Experiments (EEs) planned to be performed between JVET-C and JVET-D meetings in order to get better understanding of technologies considered for inclusion to the next version of JEM, analyse and verify their performance, complexity and interaction with existing JEM tools.
JVET-C1011 Description of Exploration Experiments on coding tools [E. Alshina, J. Boyce, Y. J. Chang, S.-H. Kim, V. Seregin, X. Xiu] [2016-06-23] See list of EEs in section 9.1 The version reviewed on Tuesday was again approved in the closing plenary on Wednesday. One minor change was made, adding Qualcomm as an additional contributing party in EE9 test 4. Some affine MC friendly content should be made available, as allowed by content rights, so that it can be used in EE4 tests. X. Ma (Huawei) was requested to contact Mathias Wien to enable uploading of such content to the JVET content repository. Once content has been made available, this should be announced on the JVET reflector. Title and Email Reflector Chairs Mtg Tool evaluation (AHG1) (jvet@lists.rwth-aachen.de) Coordinate the exploration experiments. Investigate interaction of tools in JEM and exploration experiment branches. Disc...
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Minhua Zhou (Broadcom)
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3rd Meeting: Geneva, May 2016 2016-05-26 11:20
Abstract
This document reports the work of the JVET ad hoc group on Tool evaluation (AHG1) between the 2nd JVET meeting at San Diego, USA (20-26 February 2016) and the 3rd Meeting at Geneva, Switzerland (26 May - 1 June 2016).
JVET-C0001 JVET AHG report: Tool evaluation (AHG1) [M. Karczewicz, E. Alshina] This document reports the work of the JVET ad hoc group on Tool evaluation (AHG1) between the 2nd JVET meeting at San Diego, USA (20–26 February 2016) and the 3rd Meeting at Geneva, Switzerland (26 May – 1 June 2016). Joint Exploration Test Model Software (HM-16.6-JEM-2.0) was released 19th of March, 2016. The software can be downloaded at: https://jvet.hhi.fraunhofer.de/svn/svn_HMJEMSoftware/tags/HM-16.6-JEM-2.0 Algorithms included into JEM2.0 include Block structure Larger Coding Tree Unit (up to 256x256) and transforms (up to 64x64) Quadtree plus binary tree (QTBT) block structure only in EE SW branch Intra prediction improvements 65 intra prediction directions modified in JEM2.0 compared to JEM1.0 4-tap interpolation filter for intra prediction Boundary filter applied to other directions in addition to h...
Decisions
noted
It is also noted that the relatively high gain of class A2 may be misleading since some of these sequences are relatively easy to encode (rollercoaster, trafficflow).
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