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Image/Video Coding

Transform Domain Distributed Video Coding Using Larger Transform Blocks

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Authors:
Asif Mahmood, Laurence S Dooley, Patrick Wong
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15 November 2017 - 9:32am
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mahmood_presentation_final.pdf

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[1] Asif Mahmood, Laurence S Dooley, Patrick Wong, "Transform Domain Distributed Video Coding Using Larger Transform Blocks", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2358. Accessed: Dec. 15, 2017.
@article{2358-17,
url = {http://sigport.org/2358},
author = {Asif Mahmood; Laurence S Dooley; Patrick Wong },
publisher = {IEEE SigPort},
title = {Transform Domain Distributed Video Coding Using Larger Transform Blocks},
year = {2017} }
TY - EJOUR
T1 - Transform Domain Distributed Video Coding Using Larger Transform Blocks
AU - Asif Mahmood; Laurence S Dooley; Patrick Wong
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2358
ER -
Asif Mahmood, Laurence S Dooley, Patrick Wong. (2017). Transform Domain Distributed Video Coding Using Larger Transform Blocks. IEEE SigPort. http://sigport.org/2358
Asif Mahmood, Laurence S Dooley, Patrick Wong, 2017. Transform Domain Distributed Video Coding Using Larger Transform Blocks. Available at: http://sigport.org/2358.
Asif Mahmood, Laurence S Dooley, Patrick Wong. (2017). "Transform Domain Distributed Video Coding Using Larger Transform Blocks." Web.
1. Asif Mahmood, Laurence S Dooley, Patrick Wong. Transform Domain Distributed Video Coding Using Larger Transform Blocks [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2358

Virtual Reality Content Streaming: Viewport-Dependent Projection and Tile-based Techniques

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Authors:
Alireza Zare, Alireza Aminlou, Miska M. Hannuksela
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27 September 2017 - 8:44am
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ICIP_2017_Zare_v02.pdf

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[1] Alireza Zare, Alireza Aminlou, Miska M. Hannuksela, "Virtual Reality Content Streaming: Viewport-Dependent Projection and Tile-based Techniques", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2248. Accessed: Dec. 15, 2017.
@article{2248-17,
url = {http://sigport.org/2248},
author = {Alireza Zare; Alireza Aminlou; Miska M. Hannuksela },
publisher = {IEEE SigPort},
title = {Virtual Reality Content Streaming: Viewport-Dependent Projection and Tile-based Techniques},
year = {2017} }
TY - EJOUR
T1 - Virtual Reality Content Streaming: Viewport-Dependent Projection and Tile-based Techniques
AU - Alireza Zare; Alireza Aminlou; Miska M. Hannuksela
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2248
ER -
Alireza Zare, Alireza Aminlou, Miska M. Hannuksela. (2017). Virtual Reality Content Streaming: Viewport-Dependent Projection and Tile-based Techniques. IEEE SigPort. http://sigport.org/2248
Alireza Zare, Alireza Aminlou, Miska M. Hannuksela, 2017. Virtual Reality Content Streaming: Viewport-Dependent Projection and Tile-based Techniques. Available at: http://sigport.org/2248.
Alireza Zare, Alireza Aminlou, Miska M. Hannuksela. (2017). "Virtual Reality Content Streaming: Viewport-Dependent Projection and Tile-based Techniques." Web.
1. Alireza Zare, Alireza Aminlou, Miska M. Hannuksela. Virtual Reality Content Streaming: Viewport-Dependent Projection and Tile-based Techniques [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2248

HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH


Rate-constrained motion estimation (RCME) is the most computationally intensive task of H.265/HEVC encoding. Massively parallel architectures, such as graphics processing units (GPUs), used in combination with a multi-core central processing unit (CPU), provide a promising computing platform to achieve fast encoding. However, the dependencies in deriving motion vector predictors (MVPs) prevent the parallelization of prediction units (PUs) processing at a frame level.

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Authors:
Esmaeil Hojati, Jean-François Franche, Stéphane Coulombe, Carlos Vázquez
Submitted On:
26 September 2017 - 8:28am
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ICIP2017-Poster-Hojati.pdf

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[1] Esmaeil Hojati, Jean-François Franche, Stéphane Coulombe, Carlos Vázquez, "HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2247. Accessed: Dec. 15, 2017.
@article{2247-17,
url = {http://sigport.org/2247},
author = {Esmaeil Hojati; Jean-François Franche; Stéphane Coulombe; Carlos Vázquez },
publisher = {IEEE SigPort},
title = {HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH},
year = {2017} }
TY - EJOUR
T1 - HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH
AU - Esmaeil Hojati; Jean-François Franche; Stéphane Coulombe; Carlos Vázquez
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2247
ER -
Esmaeil Hojati, Jean-François Franche, Stéphane Coulombe, Carlos Vázquez. (2017). HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH. IEEE SigPort. http://sigport.org/2247
Esmaeil Hojati, Jean-François Franche, Stéphane Coulombe, Carlos Vázquez, 2017. HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH. Available at: http://sigport.org/2247.
Esmaeil Hojati, Jean-François Franche, Stéphane Coulombe, Carlos Vázquez. (2017). "HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH." Web.
1. Esmaeil Hojati, Jean-François Franche, Stéphane Coulombe, Carlos Vázquez. HIGHLY PARALLEL HEVC MOTION ESTIMATION BASED ON MULTIPLE TEMPORAL PREDICTORS AND NESTED DIAMOND SEARCH [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2247

SCALABLE LIGHT FIELD COMPRESSION SCHEME USING SPARSE RECONSTRUCTION AND RESTORATION


This poster describes a light field scalable compression scheme based on the sparsity of the angular Fourier transform of the light field. A subset of sub-aperture images (or views) is compressed using HEVC as a base layer and transmitted to the decoder. An entire light field is reconstructed from this view subset using a method exploiting the sparsity of the light field in the continuous Fourier domain. The reconstructed light field is enhanced using a patch-based restoration method. Then, restored samples are used to predict original ones, in a SHVC-based SNR-scalable scheme.

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Authors:
Fatma Hawary, Christine Guillemot, Dominique Thoreau, Guillaume Boisson
Submitted On:
18 September 2017 - 10:15pm
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Poster_ICIP2017.pdf

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[1] Fatma Hawary, Christine Guillemot, Dominique Thoreau, Guillaume Boisson , "SCALABLE LIGHT FIELD COMPRESSION SCHEME USING SPARSE RECONSTRUCTION AND RESTORATION ", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2231. Accessed: Dec. 15, 2017.
@article{2231-17,
url = {http://sigport.org/2231},
author = {Fatma Hawary; Christine Guillemot; Dominique Thoreau; Guillaume Boisson },
publisher = {IEEE SigPort},
title = {SCALABLE LIGHT FIELD COMPRESSION SCHEME USING SPARSE RECONSTRUCTION AND RESTORATION },
year = {2017} }
TY - EJOUR
T1 - SCALABLE LIGHT FIELD COMPRESSION SCHEME USING SPARSE RECONSTRUCTION AND RESTORATION
AU - Fatma Hawary; Christine Guillemot; Dominique Thoreau; Guillaume Boisson
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2231
ER -
Fatma Hawary, Christine Guillemot, Dominique Thoreau, Guillaume Boisson . (2017). SCALABLE LIGHT FIELD COMPRESSION SCHEME USING SPARSE RECONSTRUCTION AND RESTORATION . IEEE SigPort. http://sigport.org/2231
Fatma Hawary, Christine Guillemot, Dominique Thoreau, Guillaume Boisson , 2017. SCALABLE LIGHT FIELD COMPRESSION SCHEME USING SPARSE RECONSTRUCTION AND RESTORATION . Available at: http://sigport.org/2231.
Fatma Hawary, Christine Guillemot, Dominique Thoreau, Guillaume Boisson . (2017). "SCALABLE LIGHT FIELD COMPRESSION SCHEME USING SPARSE RECONSTRUCTION AND RESTORATION ." Web.
1. Fatma Hawary, Christine Guillemot, Dominique Thoreau, Guillaume Boisson . SCALABLE LIGHT FIELD COMPRESSION SCHEME USING SPARSE RECONSTRUCTION AND RESTORATION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2231

Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder

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17 September 2017 - 1:38am
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icip2017postercll.pdf

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[1] , "Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2207. Accessed: Dec. 15, 2017.
@article{2207-17,
url = {http://sigport.org/2207},
author = { },
publisher = {IEEE SigPort},
title = {Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder},
year = {2017} }
TY - EJOUR
T1 - Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2207
ER -
. (2017). Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder. IEEE SigPort. http://sigport.org/2207
, 2017. Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder. Available at: http://sigport.org/2207.
. (2017). "Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder." Web.
1. . Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2207

Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder

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17 September 2017 - 1:38am
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icip2017postercll.pdf

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[1] , "Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2206. Accessed: Dec. 15, 2017.
@article{2206-17,
url = {http://sigport.org/2206},
author = { },
publisher = {IEEE SigPort},
title = {Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder},
year = {2017} }
TY - EJOUR
T1 - Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2206
ER -
. (2017). Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder. IEEE SigPort. http://sigport.org/2206
, 2017. Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder. Available at: http://sigport.org/2206.
. (2017). "Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder." Web.
1. . Coding Sensitive based Approximation Algorithm for Power Efficient VBS-DCT VLSI Design in HEVC Hardwired Intra Encoder [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2206

Adaptive interpolated motion compensated prediction


Current video coders rely heavily on block-based motion compensation, which is known to accurately capture pure translation, but to (at best) approximate all other types of motion, such as rotation and zoom. Moreover, as motion vectors are obtained through pixel-domain block matching to optimize a rate-distortion cost, and do not necessarily represent the actual motion, the model should not be considered a proper sampling of the underlying pixel motion field.

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Authors:
Tejaswi Nanundaswamy, Kenneth Rose
Submitted On:
15 September 2017 - 11:06am
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Adaptive interpolated motion compensated prediction.pdf

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[1] Tejaswi Nanundaswamy, Kenneth Rose, "Adaptive interpolated motion compensated prediction", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2139. Accessed: Dec. 15, 2017.
@article{2139-17,
url = {http://sigport.org/2139},
author = {Tejaswi Nanundaswamy; Kenneth Rose },
publisher = {IEEE SigPort},
title = {Adaptive interpolated motion compensated prediction},
year = {2017} }
TY - EJOUR
T1 - Adaptive interpolated motion compensated prediction
AU - Tejaswi Nanundaswamy; Kenneth Rose
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2139
ER -
Tejaswi Nanundaswamy, Kenneth Rose. (2017). Adaptive interpolated motion compensated prediction. IEEE SigPort. http://sigport.org/2139
Tejaswi Nanundaswamy, Kenneth Rose, 2017. Adaptive interpolated motion compensated prediction. Available at: http://sigport.org/2139.
Tejaswi Nanundaswamy, Kenneth Rose. (2017). "Adaptive interpolated motion compensated prediction." Web.
1. Tejaswi Nanundaswamy, Kenneth Rose. Adaptive interpolated motion compensated prediction [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2139

AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING


Screen content has different characteristics compared with natural content captured by cameras. To achieve more efficient compression, some new coding tools have been developed in the High Efficiency Video Coding (HEVC) Screen Content Coding (SCC) Extension, which also increase the computational complexity of encoder. In this paper, complexity analysis are first conducted to explore the distribution of complexities.

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Authors:
Liquan Shen, Ping An
Submitted On:
15 September 2017 - 5:05am
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ICIP2017 poster of paper #1561

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[1] Liquan Shen, Ping An, "AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2114. Accessed: Dec. 15, 2017.
@article{2114-17,
url = {http://sigport.org/2114},
author = {Liquan Shen; Ping An },
publisher = {IEEE SigPort},
title = {AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING},
year = {2017} }
TY - EJOUR
T1 - AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING
AU - Liquan Shen; Ping An
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2114
ER -
Liquan Shen, Ping An. (2017). AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING. IEEE SigPort. http://sigport.org/2114
Liquan Shen, Ping An, 2017. AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING. Available at: http://sigport.org/2114.
Liquan Shen, Ping An. (2017). "AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING." Web.
1. Liquan Shen, Ping An. AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2114

AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING


Screen content has different characteristics compared with natural content captured by cameras. To achieve more efficient compression, some new coding tools have been developed in the High Efficiency Video Coding (HEVC) Screen Content Coding (SCC) Extension, which also increase the computational complexity of encoder. In this paper, complexity analysis are first conducted to explore the distribution of complexities.

Paper Details

Authors:
Liquan Shen, Ping An
Submitted On:
15 September 2017 - 5:05am
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ICIP 2017 paper ID: 1561

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[1] Liquan Shen, Ping An, "AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2112. Accessed: Dec. 15, 2017.
@article{2112-17,
url = {http://sigport.org/2112},
author = {Liquan Shen; Ping An },
publisher = {IEEE SigPort},
title = {AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING},
year = {2017} }
TY - EJOUR
T1 - AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING
AU - Liquan Shen; Ping An
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2112
ER -
Liquan Shen, Ping An. (2017). AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING. IEEE SigPort. http://sigport.org/2112
Liquan Shen, Ping An, 2017. AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING. Available at: http://sigport.org/2112.
Liquan Shen, Ping An. (2017). "AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING." Web.
1. Liquan Shen, Ping An. AN EFFICIENT INTRA CODING ALGORITHM BASED ON STATISTICAL LEARNING FOR SCREEN CONTENT CODING [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2112

MULTIGAP: MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS


With the advent of deep learning, convolutional neural networks have solved many imaging problems to a large extent. However, it remains to be seen if the image “bottleneck” can be unplugged by harnessing complementary sources of data. In this paper, we present a new approach to image aesthetic evaluation that learns both visual and textual features simultaneously. Our network extracts visual features by appending global average pooling blocks on multiple inception modules (MultiGAP), while textual features from associated user comments are learned from a recurrent neural network.

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Authors:
Yong-Lian Hii, John See, Magzhan Kairanbay, Lai-Kuan Wong
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15 September 2017 - 4:38am
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MULTIGAP- MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS.pdf

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[1] Yong-Lian Hii, John See, Magzhan Kairanbay, Lai-Kuan Wong, "MULTIGAP: MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2109. Accessed: Dec. 15, 2017.
@article{2109-17,
url = {http://sigport.org/2109},
author = {Yong-Lian Hii; John See; Magzhan Kairanbay; Lai-Kuan Wong },
publisher = {IEEE SigPort},
title = {MULTIGAP: MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS},
year = {2017} }
TY - EJOUR
T1 - MULTIGAP: MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS
AU - Yong-Lian Hii; John See; Magzhan Kairanbay; Lai-Kuan Wong
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2109
ER -
Yong-Lian Hii, John See, Magzhan Kairanbay, Lai-Kuan Wong. (2017). MULTIGAP: MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS. IEEE SigPort. http://sigport.org/2109
Yong-Lian Hii, John See, Magzhan Kairanbay, Lai-Kuan Wong, 2017. MULTIGAP: MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS. Available at: http://sigport.org/2109.
Yong-Lian Hii, John See, Magzhan Kairanbay, Lai-Kuan Wong. (2017). "MULTIGAP: MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS." Web.
1. Yong-Lian Hii, John See, Magzhan Kairanbay, Lai-Kuan Wong. MULTIGAP: MULTI-POOLED INCEPTION NETWORK WITH TEXT AUGMENTATION FOR AESTHETIC PREDICTION OF PHOTOGRAPHS [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2109

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