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Image/Video Coding

GOP Level Quality Dependency Based Frame Level Rate Control Algorithm


This paper proposes a rate control algorithm based on group of pictures (GOP) level quality dependency for high efficiency video coding (HEVC) low delay hierarchical coding structure. Firstly, this paper builds a GOP level quality dependency model. Secondly, a GOP level quality dependency model based GOP level rate-distortion optimization is introduced to make bit allocation more reasonable.

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Authors:
Guanwen Zhang, Henglu Wei, Wei Zhou, Zhemin Duan
Submitted On:
7 November 2019 - 12:58am
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Poster PDF of GOP Level Quality Dependency Based Frame Level Rate Control Algorithm

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[1] Guanwen Zhang, Henglu Wei, Wei Zhou, Zhemin Duan, "GOP Level Quality Dependency Based Frame Level Rate Control Algorithm", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4907. Accessed: Nov. 12, 2019.
@article{4907-19,
url = {http://sigport.org/4907},
author = {Guanwen Zhang; Henglu Wei; Wei Zhou; Zhemin Duan },
publisher = {IEEE SigPort},
title = {GOP Level Quality Dependency Based Frame Level Rate Control Algorithm},
year = {2019} }
TY - EJOUR
T1 - GOP Level Quality Dependency Based Frame Level Rate Control Algorithm
AU - Guanwen Zhang; Henglu Wei; Wei Zhou; Zhemin Duan
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4907
ER -
Guanwen Zhang, Henglu Wei, Wei Zhou, Zhemin Duan. (2019). GOP Level Quality Dependency Based Frame Level Rate Control Algorithm. IEEE SigPort. http://sigport.org/4907
Guanwen Zhang, Henglu Wei, Wei Zhou, Zhemin Duan, 2019. GOP Level Quality Dependency Based Frame Level Rate Control Algorithm. Available at: http://sigport.org/4907.
Guanwen Zhang, Henglu Wei, Wei Zhou, Zhemin Duan. (2019). "GOP Level Quality Dependency Based Frame Level Rate Control Algorithm." Web.
1. Guanwen Zhang, Henglu Wei, Wei Zhou, Zhemin Duan. GOP Level Quality Dependency Based Frame Level Rate Control Algorithm [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4907

An Efficient Logo Insertion Method for Video Coding in HEVC


Inserting a logo into HEVC video streams is highly demanded in video applications. In this paper, we present an efficient logo insertion method for video coding in HEVC. To reduce the impact of inserted logo, the proposed method mitigates the encoding dependence on logo by partitioning the video frame into separated regions. For lossless coding region, we reduce the bit rate overhead of lossless coding according to an error propagation model. For information reusing region, we partly re-encode the quality-loss area to maintain the encoding quality.

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Authors:
Zhijie Huang, Jun Sun
Submitted On:
25 September 2019 - 8:41am
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Oral Presentation

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[1] Zhijie Huang, Jun Sun, "An Efficient Logo Insertion Method for Video Coding in HEVC", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4841. Accessed: Nov. 12, 2019.
@article{4841-19,
url = {http://sigport.org/4841},
author = {Zhijie Huang; Jun Sun },
publisher = {IEEE SigPort},
title = {An Efficient Logo Insertion Method for Video Coding in HEVC},
year = {2019} }
TY - EJOUR
T1 - An Efficient Logo Insertion Method for Video Coding in HEVC
AU - Zhijie Huang; Jun Sun
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4841
ER -
Zhijie Huang, Jun Sun. (2019). An Efficient Logo Insertion Method for Video Coding in HEVC. IEEE SigPort. http://sigport.org/4841
Zhijie Huang, Jun Sun, 2019. An Efficient Logo Insertion Method for Video Coding in HEVC. Available at: http://sigport.org/4841.
Zhijie Huang, Jun Sun. (2019). "An Efficient Logo Insertion Method for Video Coding in HEVC." Web.
1. Zhijie Huang, Jun Sun. An Efficient Logo Insertion Method for Video Coding in HEVC [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4841

LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES


Motion modelling plays a central role in video compression. This role is even more critical in highly textured video sequences, whereby a small error can produce large residuals that are costly to compress. While the translational motion model employed by existing coding standards, such as HEVC, is sufficient in most cases, using higher order models is beneficial; for this reason, the upcoming video coding standard, VVC, employs a 4-parameter affine model.

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Authors:
Ashek Ahmmed, Aous Naman, Mark Pickering
Submitted On:
24 September 2019 - 10:48am
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LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES

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[1] Ashek Ahmmed, Aous Naman, Mark Pickering, "LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4833. Accessed: Nov. 12, 2019.
@article{4833-19,
url = {http://sigport.org/4833},
author = {Ashek Ahmmed; Aous Naman; Mark Pickering },
publisher = {IEEE SigPort},
title = {LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES},
year = {2019} }
TY - EJOUR
T1 - LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES
AU - Ashek Ahmmed; Aous Naman; Mark Pickering
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4833
ER -
Ashek Ahmmed, Aous Naman, Mark Pickering. (2019). LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES. IEEE SigPort. http://sigport.org/4833
Ashek Ahmmed, Aous Naman, Mark Pickering, 2019. LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES. Available at: http://sigport.org/4833.
Ashek Ahmmed, Aous Naman, Mark Pickering. (2019). "LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES." Web.
1. Ashek Ahmmed, Aous Naman, Mark Pickering. LEVERAGING THE DISCRETE COSINE BASIS FOR BETTER MOTION MODELLING IN HIGHLY TEXTURED VIDEO SEQUENCES [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4833

Enhanced Video Compression based on Effective Bit depth Adaptation

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Submitted On:
23 September 2019 - 8:53pm
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SLIDES_ICIP_2019_EBDA.pdf

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[1] , "Enhanced Video Compression based on Effective Bit depth Adaptation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4824. Accessed: Nov. 12, 2019.
@article{4824-19,
url = {http://sigport.org/4824},
author = { },
publisher = {IEEE SigPort},
title = {Enhanced Video Compression based on Effective Bit depth Adaptation},
year = {2019} }
TY - EJOUR
T1 - Enhanced Video Compression based on Effective Bit depth Adaptation
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4824
ER -
. (2019). Enhanced Video Compression based on Effective Bit depth Adaptation. IEEE SigPort. http://sigport.org/4824
, 2019. Enhanced Video Compression based on Effective Bit depth Adaptation. Available at: http://sigport.org/4824.
. (2019). "Enhanced Video Compression based on Effective Bit depth Adaptation." Web.
1. . Enhanced Video Compression based on Effective Bit depth Adaptation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4824

HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD


This paper describes the block coding algorithm that underpins the new High Throughput JPEG 2000 (HTJ2K) standard. The objective of HTJ2K is to overcome the computational complexity of the original block coding algorithm, by providing a drop-in replacement that preserves as much of the JPEG 2000 feature set as possible, while allowing reversible transcoding to/from the original format. We show how the new standard achieves these goals, with high coding efficiency, and extremely high throughput in software.

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Authors:
Reji Mathew
Submitted On:
20 September 2019 - 12:11pm
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taubman-htj2k-icip2019-eposter

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[1] Reji Mathew, "HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4791. Accessed: Nov. 12, 2019.
@article{4791-19,
url = {http://sigport.org/4791},
author = {Reji Mathew },
publisher = {IEEE SigPort},
title = {HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD},
year = {2019} }
TY - EJOUR
T1 - HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD
AU - Reji Mathew
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4791
ER -
Reji Mathew. (2019). HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD. IEEE SigPort. http://sigport.org/4791
Reji Mathew, 2019. HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD. Available at: http://sigport.org/4791.
Reji Mathew. (2019). "HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD." Web.
1. Reji Mathew. HIGH THROUGHPUT BLOCK CODING IN THE HTJ2K COMPRESSION STANDARD [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4791

Blocksize-QP dependent intra interpolation filters


Intra interpolation filters for intra angular prediction play an important role in the coding performance. In the intra angular prediction of VVC, which is being standardized by the joint video coding expert team (JVET), block-size based switchable interpolation filters between 4-tap cubic and Gaussian interpolation filters is being studied. Although the two filters have different frequency characteristics, block size-based criteria are insufficient to represent the reference sample characteristics.

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Authors:
Yoshitaka Kidani, Kei Kawamura, Kyohei Unno, Sei Naito
Submitted On:
20 September 2019 - 5:12am
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ICIP2019_P2450.pdf

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[1] Yoshitaka Kidani, Kei Kawamura, Kyohei Unno, Sei Naito, "Blocksize-QP dependent intra interpolation filters", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4770. Accessed: Nov. 12, 2019.
@article{4770-19,
url = {http://sigport.org/4770},
author = {Yoshitaka Kidani; Kei Kawamura; Kyohei Unno; Sei Naito },
publisher = {IEEE SigPort},
title = {Blocksize-QP dependent intra interpolation filters},
year = {2019} }
TY - EJOUR
T1 - Blocksize-QP dependent intra interpolation filters
AU - Yoshitaka Kidani; Kei Kawamura; Kyohei Unno; Sei Naito
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4770
ER -
Yoshitaka Kidani, Kei Kawamura, Kyohei Unno, Sei Naito. (2019). Blocksize-QP dependent intra interpolation filters. IEEE SigPort. http://sigport.org/4770
Yoshitaka Kidani, Kei Kawamura, Kyohei Unno, Sei Naito, 2019. Blocksize-QP dependent intra interpolation filters. Available at: http://sigport.org/4770.
Yoshitaka Kidani, Kei Kawamura, Kyohei Unno, Sei Naito. (2019). "Blocksize-QP dependent intra interpolation filters." Web.
1. Yoshitaka Kidani, Kei Kawamura, Kyohei Unno, Sei Naito. Blocksize-QP dependent intra interpolation filters [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4770

Image Pre-Transformation for Recognition-Aware Image Compression

Paper Details

Authors:
Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu
Submitted On:
20 September 2019 - 5:14am
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ICIP2019_suzuki_emb.pdf

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[1] Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu, "Image Pre-Transformation for Recognition-Aware Image Compression", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4768. Accessed: Nov. 12, 2019.
@article{4768-19,
url = {http://sigport.org/4768},
author = {Motohiro Takagi; Kazuya Hayase; Takayuki Onishi; Atsushi Shimizu },
publisher = {IEEE SigPort},
title = {Image Pre-Transformation for Recognition-Aware Image Compression},
year = {2019} }
TY - EJOUR
T1 - Image Pre-Transformation for Recognition-Aware Image Compression
AU - Motohiro Takagi; Kazuya Hayase; Takayuki Onishi; Atsushi Shimizu
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4768
ER -
Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu. (2019). Image Pre-Transformation for Recognition-Aware Image Compression. IEEE SigPort. http://sigport.org/4768
Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu, 2019. Image Pre-Transformation for Recognition-Aware Image Compression. Available at: http://sigport.org/4768.
Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu. (2019). "Image Pre-Transformation for Recognition-Aware Image Compression." Web.
1. Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu. Image Pre-Transformation for Recognition-Aware Image Compression [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4768

Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG

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Authors:
Hiroyuki KOBAYASHI, Osamu WATANABE, Hitoshi KIYA
Submitted On:
19 September 2019 - 3:31am
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icip2019_poster.pdf

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[1] Hiroyuki KOBAYASHI, Osamu WATANABE, Hitoshi KIYA, "Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4710. Accessed: Nov. 12, 2019.
@article{4710-19,
url = {http://sigport.org/4710},
author = {Hiroyuki KOBAYASHI; Osamu WATANABE; Hitoshi KIYA },
publisher = {IEEE SigPort},
title = {Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG},
year = {2019} }
TY - EJOUR
T1 - Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG
AU - Hiroyuki KOBAYASHI; Osamu WATANABE; Hitoshi KIYA
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4710
ER -
Hiroyuki KOBAYASHI, Osamu WATANABE, Hitoshi KIYA. (2019). Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG. IEEE SigPort. http://sigport.org/4710
Hiroyuki KOBAYASHI, Osamu WATANABE, Hitoshi KIYA, 2019. Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG. Available at: http://sigport.org/4710.
Hiroyuki KOBAYASHI, Osamu WATANABE, Hitoshi KIYA. (2019). "Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG." Web.
1. Hiroyuki KOBAYASHI, Osamu WATANABE, Hitoshi KIYA. Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4710

RATE-DISTORTION OPTIMIZED TREE-STRUCTURED POINT-LATTICE VECTOR QUANTIZATION FOR COMPRESSION OF 3D POINT CLOUDS GEOMETRY


This paper deals with the current trends of new compression methods for 3D point cloud contents required to ensure efficient transmission and storage.
The representation of 3D point clouds geometry remains a challenging problem, since this signal is unstructured.
In this paper, we introduce a new hierarchical geometry representation based on adaptive Tree-Structured Point-Lattice Vector Quantization (TSPLVQ).
This representation enables hierarchically structured 3D content that improves the compression performance for static point clouds.

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Authors:
Amira Filali, Vincent Ricordel, Nicolas Normand, Wassim Hamidouche
Submitted On:
18 September 2019 - 11:27am
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eposter_icip_VR.pdf

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[1] Amira Filali, Vincent Ricordel, Nicolas Normand, Wassim Hamidouche, "RATE-DISTORTION OPTIMIZED TREE-STRUCTURED POINT-LATTICE VECTOR QUANTIZATION FOR COMPRESSION OF 3D POINT CLOUDS GEOMETRY", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4684. Accessed: Nov. 12, 2019.
@article{4684-19,
url = {http://sigport.org/4684},
author = {Amira Filali; Vincent Ricordel; Nicolas Normand; Wassim Hamidouche },
publisher = {IEEE SigPort},
title = {RATE-DISTORTION OPTIMIZED TREE-STRUCTURED POINT-LATTICE VECTOR QUANTIZATION FOR COMPRESSION OF 3D POINT CLOUDS GEOMETRY},
year = {2019} }
TY - EJOUR
T1 - RATE-DISTORTION OPTIMIZED TREE-STRUCTURED POINT-LATTICE VECTOR QUANTIZATION FOR COMPRESSION OF 3D POINT CLOUDS GEOMETRY
AU - Amira Filali; Vincent Ricordel; Nicolas Normand; Wassim Hamidouche
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4684
ER -
Amira Filali, Vincent Ricordel, Nicolas Normand, Wassim Hamidouche. (2019). RATE-DISTORTION OPTIMIZED TREE-STRUCTURED POINT-LATTICE VECTOR QUANTIZATION FOR COMPRESSION OF 3D POINT CLOUDS GEOMETRY. IEEE SigPort. http://sigport.org/4684
Amira Filali, Vincent Ricordel, Nicolas Normand, Wassim Hamidouche, 2019. RATE-DISTORTION OPTIMIZED TREE-STRUCTURED POINT-LATTICE VECTOR QUANTIZATION FOR COMPRESSION OF 3D POINT CLOUDS GEOMETRY. Available at: http://sigport.org/4684.
Amira Filali, Vincent Ricordel, Nicolas Normand, Wassim Hamidouche. (2019). "RATE-DISTORTION OPTIMIZED TREE-STRUCTURED POINT-LATTICE VECTOR QUANTIZATION FOR COMPRESSION OF 3D POINT CLOUDS GEOMETRY." Web.
1. Amira Filali, Vincent Ricordel, Nicolas Normand, Wassim Hamidouche. RATE-DISTORTION OPTIMIZED TREE-STRUCTURED POINT-LATTICE VECTOR QUANTIZATION FOR COMPRESSION OF 3D POINT CLOUDS GEOMETRY [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4684

AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS


This paper presents a novel method for a data-driven training of
affine-linear predictors which perform intra prediction in state-ofthe-
art video coding. The main aspect of our training design is the
use of subband decomposition of both the input and the output of the
prediction. Due to this architecture, the same set of predictors can be
shared across different block shapes leading to a very limited memory
requirement. Also, the computational complexity of the resulting
predictors can be limited such that it does not exceed the complexity

Paper Details

Authors:
Jonathan Pfaff, Björn Stallenberger, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
Submitted On:
20 September 2019 - 7:48am
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lwip_poster.pdf

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[1] Jonathan Pfaff, Björn Stallenberger, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand, "AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4679. Accessed: Nov. 12, 2019.
@article{4679-19,
url = {http://sigport.org/4679},
author = {Jonathan Pfaff; Björn Stallenberger; Philipp Helle; Heiko Schwarz; Detlev Marpe; Thomas Wiegand },
publisher = {IEEE SigPort},
title = {AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS},
year = {2019} }
TY - EJOUR
T1 - AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS
AU - Jonathan Pfaff; Björn Stallenberger; Philipp Helle; Heiko Schwarz; Detlev Marpe; Thomas Wiegand
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4679
ER -
Jonathan Pfaff, Björn Stallenberger, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand. (2019). AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS. IEEE SigPort. http://sigport.org/4679
Jonathan Pfaff, Björn Stallenberger, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand, 2019. AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS. Available at: http://sigport.org/4679.
Jonathan Pfaff, Björn Stallenberger, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand. (2019). "AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS." Web.
1. Jonathan Pfaff, Björn Stallenberger, Philipp Helle, Heiko Schwarz, Detlev Marpe, Thomas Wiegand. AN AFFINE-LINEAR INTRA PREDICTION WITH COMPLEXITY CONSTRAINTS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4679

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