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Image, Video, and Multidimensional Signal Processing

REFLECTANCE-BASED SURFACE SALIENCY


In this paper, we propose an original methodology allowing the computation of the saliency maps for high dimensional RTI data (Reflectance Transformation Imaging). Unlike most of the classical methods, our approach aims at devising an intrinsic visual saliency of the surface, independent of the sensor (image) and the geometry of the scene (light-object-camera).

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Authors:
Gilles Pitard, Gaetan Le Goic, Alamin Mansouri, Hugues Favrelière, Maurice Pillet, Sony George, Jon Yngve Hardeberg
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17 September 2017 - 10:21am
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ICIP_PITARD_Beijing

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[1] Gilles Pitard, Gaetan Le Goic, Alamin Mansouri, Hugues Favrelière, Maurice Pillet, Sony George, Jon Yngve Hardeberg, "REFLECTANCE-BASED SURFACE SALIENCY", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2213. Accessed: Dec. 16, 2017.
@article{2213-17,
url = {http://sigport.org/2213},
author = {Gilles Pitard; Gaetan Le Goic; Alamin Mansouri; Hugues Favrelière; Maurice Pillet; Sony George; Jon Yngve Hardeberg },
publisher = {IEEE SigPort},
title = {REFLECTANCE-BASED SURFACE SALIENCY},
year = {2017} }
TY - EJOUR
T1 - REFLECTANCE-BASED SURFACE SALIENCY
AU - Gilles Pitard; Gaetan Le Goic; Alamin Mansouri; Hugues Favrelière; Maurice Pillet; Sony George; Jon Yngve Hardeberg
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2213
ER -
Gilles Pitard, Gaetan Le Goic, Alamin Mansouri, Hugues Favrelière, Maurice Pillet, Sony George, Jon Yngve Hardeberg. (2017). REFLECTANCE-BASED SURFACE SALIENCY. IEEE SigPort. http://sigport.org/2213
Gilles Pitard, Gaetan Le Goic, Alamin Mansouri, Hugues Favrelière, Maurice Pillet, Sony George, Jon Yngve Hardeberg, 2017. REFLECTANCE-BASED SURFACE SALIENCY. Available at: http://sigport.org/2213.
Gilles Pitard, Gaetan Le Goic, Alamin Mansouri, Hugues Favrelière, Maurice Pillet, Sony George, Jon Yngve Hardeberg. (2017). "REFLECTANCE-BASED SURFACE SALIENCY." Web.
1. Gilles Pitard, Gaetan Le Goic, Alamin Mansouri, Hugues Favrelière, Maurice Pillet, Sony George, Jon Yngve Hardeberg. REFLECTANCE-BASED SURFACE SALIENCY [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2213

LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING

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Authors:
Giuseppe Valenzise, Frederic Dufaux
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17 September 2017 - 7:07am
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[1] Giuseppe Valenzise, Frederic Dufaux, "LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2212. Accessed: Dec. 16, 2017.
@article{2212-17,
url = {http://sigport.org/2212},
author = {Giuseppe Valenzise; Frederic Dufaux },
publisher = {IEEE SigPort},
title = {LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING},
year = {2017} }
TY - EJOUR
T1 - LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING
AU - Giuseppe Valenzise; Frederic Dufaux
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2212
ER -
Giuseppe Valenzise, Frederic Dufaux. (2017). LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING. IEEE SigPort. http://sigport.org/2212
Giuseppe Valenzise, Frederic Dufaux, 2017. LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING. Available at: http://sigport.org/2212.
Giuseppe Valenzise, Frederic Dufaux. (2017). "LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING." Web.
1. Giuseppe Valenzise, Frederic Dufaux. LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2212

Deep Discovery of Facial Motions using a Shallow Embedding Layer


Unique encoding of the dynamics of facial actions has potential to provide a spontaneous facial expression recognition system. The most promising existing approaches rely on deep learning of facial actions. However, current approaches are often computationally intensive and require a great deal of memory/processing time, and typically the temporal aspect of facial actions are often ignored, despite the potential wealth of information available from the spatial dynamic movements and their temporal evolution over time from neutral state to apex state.

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Authors:
Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes
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17 September 2017 - 4:03am
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[1] Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes, "Deep Discovery of Facial Motions using a Shallow Embedding Layer", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2211. Accessed: Dec. 16, 2017.
@article{2211-17,
url = {http://sigport.org/2211},
author = {Afsaneh Ghasemi; Mahsa Baktashmotlagh; Simon Denman; Sridha Sridharan; Dung Nguyen Tien; Clinton Fookes },
publisher = {IEEE SigPort},
title = {Deep Discovery of Facial Motions using a Shallow Embedding Layer},
year = {2017} }
TY - EJOUR
T1 - Deep Discovery of Facial Motions using a Shallow Embedding Layer
AU - Afsaneh Ghasemi; Mahsa Baktashmotlagh; Simon Denman; Sridha Sridharan; Dung Nguyen Tien; Clinton Fookes
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2211
ER -
Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes. (2017). Deep Discovery of Facial Motions using a Shallow Embedding Layer. IEEE SigPort. http://sigport.org/2211
Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes, 2017. Deep Discovery of Facial Motions using a Shallow Embedding Layer. Available at: http://sigport.org/2211.
Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes. (2017). "Deep Discovery of Facial Motions using a Shallow Embedding Layer." Web.
1. Afsaneh Ghasemi, Mahsa Baktashmotlagh, Simon Denman, Sridha Sridharan, Dung Nguyen Tien, Clinton Fookes. Deep Discovery of Facial Motions using a Shallow Embedding Layer [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2211

Transferring CNNs to Multi-instance Multi-label Classification on Small Datasets

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17 September 2017 - 12:25am
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[1] , "Transferring CNNs to Multi-instance Multi-label Classification on Small Datasets", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2205. Accessed: Dec. 16, 2017.
@article{2205-17,
url = {http://sigport.org/2205},
author = { },
publisher = {IEEE SigPort},
title = {Transferring CNNs to Multi-instance Multi-label Classification on Small Datasets},
year = {2017} }
TY - EJOUR
T1 - Transferring CNNs to Multi-instance Multi-label Classification on Small Datasets
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2205
ER -
. (2017). Transferring CNNs to Multi-instance Multi-label Classification on Small Datasets. IEEE SigPort. http://sigport.org/2205
, 2017. Transferring CNNs to Multi-instance Multi-label Classification on Small Datasets. Available at: http://sigport.org/2205.
. (2017). "Transferring CNNs to Multi-instance Multi-label Classification on Small Datasets." Web.
1. . Transferring CNNs to Multi-instance Multi-label Classification on Small Datasets [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2205

Texture plus Depth Video Coding Using Camera Global Motion Information


In this paper, a novel motion-information-based 3D video coding method is proposed for texture plus depth video, which addresses the issue that the traditional motion estimation methods cannot work well for all types of motion.
The global motion information is exploited to :
1. project the reference frames to the view of current-to- be-encoded frame,
2. The motion compensated virtual frame becomes more similar to the current-to-be-encoded frame.

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Authors:
Tammam TILLO, Jimin XIAO, Byeungwoo Jeon
Submitted On:
16 September 2017 - 8:24am
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[1] Tammam TILLO, Jimin XIAO, Byeungwoo Jeon, "Texture plus Depth Video Coding Using Camera Global Motion Information", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2189. Accessed: Dec. 16, 2017.
@article{2189-17,
url = {http://sigport.org/2189},
author = {Tammam TILLO; Jimin XIAO; Byeungwoo Jeon },
publisher = {IEEE SigPort},
title = {Texture plus Depth Video Coding Using Camera Global Motion Information},
year = {2017} }
TY - EJOUR
T1 - Texture plus Depth Video Coding Using Camera Global Motion Information
AU - Tammam TILLO; Jimin XIAO; Byeungwoo Jeon
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2189
ER -
Tammam TILLO, Jimin XIAO, Byeungwoo Jeon. (2017). Texture plus Depth Video Coding Using Camera Global Motion Information. IEEE SigPort. http://sigport.org/2189
Tammam TILLO, Jimin XIAO, Byeungwoo Jeon, 2017. Texture plus Depth Video Coding Using Camera Global Motion Information. Available at: http://sigport.org/2189.
Tammam TILLO, Jimin XIAO, Byeungwoo Jeon. (2017). "Texture plus Depth Video Coding Using Camera Global Motion Information." Web.
1. Tammam TILLO, Jimin XIAO, Byeungwoo Jeon. Texture plus Depth Video Coding Using Camera Global Motion Information [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2189

VIRTUAL REVIEW OF LARGE SCALE IMAGE STACK ON 3D DISPLAY


Large scale images allow pathologists to perform reviews, using
computer workstations instead of microscopes. This trend raises
a wide range of issues related to the management of these massive
datasets. In particular, efficient solutions for data storage and processing
have to be developed in order to deliver increasingly reliable
and faster analyses. In addition, the improvement of workflows also
requires the reinforcement of visualization capabilities. In this paper,
we present a new virtual microscopy (VM) approach for interactivetime

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Authors:
Jonathan Sarton, Nicolas Courilleau, Anne-Sophie Hérard, Thierry Delzescaux, Yannick Remion, Laurent Lucas
Submitted On:
16 September 2017 - 1:40am
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[1] Jonathan Sarton, Nicolas Courilleau, Anne-Sophie Hérard, Thierry Delzescaux, Yannick Remion, Laurent Lucas, "VIRTUAL REVIEW OF LARGE SCALE IMAGE STACK ON 3D DISPLAY", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2177. Accessed: Dec. 16, 2017.
@article{2177-17,
url = {http://sigport.org/2177},
author = {Jonathan Sarton; Nicolas Courilleau; Anne-Sophie Hérard; Thierry Delzescaux; Yannick Remion; Laurent Lucas },
publisher = {IEEE SigPort},
title = {VIRTUAL REVIEW OF LARGE SCALE IMAGE STACK ON 3D DISPLAY},
year = {2017} }
TY - EJOUR
T1 - VIRTUAL REVIEW OF LARGE SCALE IMAGE STACK ON 3D DISPLAY
AU - Jonathan Sarton; Nicolas Courilleau; Anne-Sophie Hérard; Thierry Delzescaux; Yannick Remion; Laurent Lucas
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2177
ER -
Jonathan Sarton, Nicolas Courilleau, Anne-Sophie Hérard, Thierry Delzescaux, Yannick Remion, Laurent Lucas. (2017). VIRTUAL REVIEW OF LARGE SCALE IMAGE STACK ON 3D DISPLAY. IEEE SigPort. http://sigport.org/2177
Jonathan Sarton, Nicolas Courilleau, Anne-Sophie Hérard, Thierry Delzescaux, Yannick Remion, Laurent Lucas, 2017. VIRTUAL REVIEW OF LARGE SCALE IMAGE STACK ON 3D DISPLAY. Available at: http://sigport.org/2177.
Jonathan Sarton, Nicolas Courilleau, Anne-Sophie Hérard, Thierry Delzescaux, Yannick Remion, Laurent Lucas. (2017). "VIRTUAL REVIEW OF LARGE SCALE IMAGE STACK ON 3D DISPLAY." Web.
1. Jonathan Sarton, Nicolas Courilleau, Anne-Sophie Hérard, Thierry Delzescaux, Yannick Remion, Laurent Lucas. VIRTUAL REVIEW OF LARGE SCALE IMAGE STACK ON 3D DISPLAY [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2177

CORRELATION-BASED DEBLURRING LEVERAGING MULTISPECTRAL CHROMATIC ABERRATION IN COLOR AND NEAR-INFRARED JOINT ACQUISITION

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Authors:
Majed El Helou, Zahra Sadeghipoor, Sabine Susstrunk
Submitted On:
15 September 2017 - 9:37am
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[1] Majed El Helou, Zahra Sadeghipoor, Sabine Susstrunk, "CORRELATION-BASED DEBLURRING LEVERAGING MULTISPECTRAL CHROMATIC ABERRATION IN COLOR AND NEAR-INFRARED JOINT ACQUISITION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2135. Accessed: Dec. 16, 2017.
@article{2135-17,
url = {http://sigport.org/2135},
author = {Majed El Helou; Zahra Sadeghipoor; Sabine Susstrunk },
publisher = {IEEE SigPort},
title = {CORRELATION-BASED DEBLURRING LEVERAGING MULTISPECTRAL CHROMATIC ABERRATION IN COLOR AND NEAR-INFRARED JOINT ACQUISITION},
year = {2017} }
TY - EJOUR
T1 - CORRELATION-BASED DEBLURRING LEVERAGING MULTISPECTRAL CHROMATIC ABERRATION IN COLOR AND NEAR-INFRARED JOINT ACQUISITION
AU - Majed El Helou; Zahra Sadeghipoor; Sabine Susstrunk
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2135
ER -
Majed El Helou, Zahra Sadeghipoor, Sabine Susstrunk. (2017). CORRELATION-BASED DEBLURRING LEVERAGING MULTISPECTRAL CHROMATIC ABERRATION IN COLOR AND NEAR-INFRARED JOINT ACQUISITION. IEEE SigPort. http://sigport.org/2135
Majed El Helou, Zahra Sadeghipoor, Sabine Susstrunk, 2017. CORRELATION-BASED DEBLURRING LEVERAGING MULTISPECTRAL CHROMATIC ABERRATION IN COLOR AND NEAR-INFRARED JOINT ACQUISITION. Available at: http://sigport.org/2135.
Majed El Helou, Zahra Sadeghipoor, Sabine Susstrunk. (2017). "CORRELATION-BASED DEBLURRING LEVERAGING MULTISPECTRAL CHROMATIC ABERRATION IN COLOR AND NEAR-INFRARED JOINT ACQUISITION." Web.
1. Majed El Helou, Zahra Sadeghipoor, Sabine Susstrunk. CORRELATION-BASED DEBLURRING LEVERAGING MULTISPECTRAL CHROMATIC ABERRATION IN COLOR AND NEAR-INFRARED JOINT ACQUISITION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2135

Data Driven Coded Aperture Design for Depth Recovery

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Authors:
Sreyas Mohan, Kaushik Mitra
Submitted On:
15 September 2017 - 8:12am
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Data Driven Coded Aperture Design

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[1] Sreyas Mohan, Kaushik Mitra, "Data Driven Coded Aperture Design for Depth Recovery", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2128. Accessed: Dec. 16, 2017.
@article{2128-17,
url = {http://sigport.org/2128},
author = {Sreyas Mohan; Kaushik Mitra },
publisher = {IEEE SigPort},
title = {Data Driven Coded Aperture Design for Depth Recovery},
year = {2017} }
TY - EJOUR
T1 - Data Driven Coded Aperture Design for Depth Recovery
AU - Sreyas Mohan; Kaushik Mitra
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2128
ER -
Sreyas Mohan, Kaushik Mitra. (2017). Data Driven Coded Aperture Design for Depth Recovery. IEEE SigPort. http://sigport.org/2128
Sreyas Mohan, Kaushik Mitra, 2017. Data Driven Coded Aperture Design for Depth Recovery. Available at: http://sigport.org/2128.
Sreyas Mohan, Kaushik Mitra. (2017). "Data Driven Coded Aperture Design for Depth Recovery." Web.
1. Sreyas Mohan, Kaushik Mitra. Data Driven Coded Aperture Design for Depth Recovery [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2128

Anomaly Detection in Thermal Images Using Deep Neural Networks

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Authors:
Cai Lile, Li Yiqun
Submitted On:
15 September 2017 - 1:53am
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[1] Cai Lile, Li Yiqun, "Anomaly Detection in Thermal Images Using Deep Neural Networks", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2085. Accessed: Dec. 16, 2017.
@article{2085-17,
url = {http://sigport.org/2085},
author = {Cai Lile; Li Yiqun },
publisher = {IEEE SigPort},
title = {Anomaly Detection in Thermal Images Using Deep Neural Networks},
year = {2017} }
TY - EJOUR
T1 - Anomaly Detection in Thermal Images Using Deep Neural Networks
AU - Cai Lile; Li Yiqun
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2085
ER -
Cai Lile, Li Yiqun. (2017). Anomaly Detection in Thermal Images Using Deep Neural Networks. IEEE SigPort. http://sigport.org/2085
Cai Lile, Li Yiqun, 2017. Anomaly Detection in Thermal Images Using Deep Neural Networks. Available at: http://sigport.org/2085.
Cai Lile, Li Yiqun. (2017). "Anomaly Detection in Thermal Images Using Deep Neural Networks." Web.
1. Cai Lile, Li Yiqun. Anomaly Detection in Thermal Images Using Deep Neural Networks [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2085

ICIP 2017 Poster Paper 3060


Top-down attention plays an important role in guidance of human attention in real-world scenarios, but less efforts in computational modeling of visual attention has been put on it. Inspired by the mechanisms of top-down attention in human visual perception, we propose a multi-layer linear model of top-down attention to modulate bottom-up saliency maps actively. The first layer is a linear regression model which combines the bottom-up saliency maps on various visual features and objects.

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Authors:
Keng-Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chenyao Shen, Qi Zhao
Submitted On:
15 September 2017 - 1:33am
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[1] Keng-Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chenyao Shen, Qi Zhao, "ICIP 2017 Poster Paper 3060", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2083. Accessed: Dec. 16, 2017.
@article{2083-17,
url = {http://sigport.org/2083},
author = {Keng-Teck Ma; Liyuan Li; Peilun Dai; Joo-Hwee Lim; Chenyao Shen; Qi Zhao },
publisher = {IEEE SigPort},
title = {ICIP 2017 Poster Paper 3060},
year = {2017} }
TY - EJOUR
T1 - ICIP 2017 Poster Paper 3060
AU - Keng-Teck Ma; Liyuan Li; Peilun Dai; Joo-Hwee Lim; Chenyao Shen; Qi Zhao
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2083
ER -
Keng-Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chenyao Shen, Qi Zhao. (2017). ICIP 2017 Poster Paper 3060. IEEE SigPort. http://sigport.org/2083
Keng-Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chenyao Shen, Qi Zhao, 2017. ICIP 2017 Poster Paper 3060. Available at: http://sigport.org/2083.
Keng-Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chenyao Shen, Qi Zhao. (2017). "ICIP 2017 Poster Paper 3060." Web.
1. Keng-Teck Ma, Liyuan Li, Peilun Dai, Joo-Hwee Lim, Chenyao Shen, Qi Zhao. ICIP 2017 Poster Paper 3060 [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2083

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