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Image, Video, and Multidimensional Signal Processing

Audio-Visual Attention: Eye-Tracking Dataset and Analysis ToolBox


Although many visual attention models have been proposed, very few saliency models investigated the impact of audio information. To develop audio-visual attention models, researchers need to have a ground truth of eye movements recorded while exploring complex natural scenes in different audio conditions. They also need tools to compare eye movements and gaze patterns between these different audio conditions.

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Authors:
Marighetto P., Coutrot A., Riche N., Guyader N., Mancas M., Gosselin B.
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20 September 2017 - 1:23am
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audiovisualSaliency.pdf

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[1] Marighetto P., Coutrot A., Riche N., Guyader N., Mancas M., Gosselin B., "Audio-Visual Attention: Eye-Tracking Dataset and Analysis ToolBox", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2238. Accessed: Sep. 20, 2017.
@article{2238-17,
url = {http://sigport.org/2238},
author = {Marighetto P.; Coutrot A.; Riche N.; Guyader N.; Mancas M.; Gosselin B. },
publisher = {IEEE SigPort},
title = {Audio-Visual Attention: Eye-Tracking Dataset and Analysis ToolBox},
year = {2017} }
TY - EJOUR
T1 - Audio-Visual Attention: Eye-Tracking Dataset and Analysis ToolBox
AU - Marighetto P.; Coutrot A.; Riche N.; Guyader N.; Mancas M.; Gosselin B.
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2238
ER -
Marighetto P., Coutrot A., Riche N., Guyader N., Mancas M., Gosselin B.. (2017). Audio-Visual Attention: Eye-Tracking Dataset and Analysis ToolBox. IEEE SigPort. http://sigport.org/2238
Marighetto P., Coutrot A., Riche N., Guyader N., Mancas M., Gosselin B., 2017. Audio-Visual Attention: Eye-Tracking Dataset and Analysis ToolBox. Available at: http://sigport.org/2238.
Marighetto P., Coutrot A., Riche N., Guyader N., Mancas M., Gosselin B.. (2017). "Audio-Visual Attention: Eye-Tracking Dataset and Analysis ToolBox." Web.
1. Marighetto P., Coutrot A., Riche N., Guyader N., Mancas M., Gosselin B.. Audio-Visual Attention: Eye-Tracking Dataset and Analysis ToolBox [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2238

TA-L7.5. Efficient estimation of target detection quality


The capability of determining the quality of target detections is important for applications using smart cameras, such as autonomous robotics and surveillance. We propose to estimate the quality of target detections by integrating the target location uncertainty over polygonal domains, which represent the fields of view of the cameras. We define a framework based on numerical integration that easily accommodates multiple models for uncertainty and fields of view.

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Authors:
Andrea Cavallaro
Submitted On:
19 September 2017 - 12:19am
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2017.09.19--EFFICIENT ESTIMATION OF TARGET DETECTION QUALITY_v2.pdf

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[1] Andrea Cavallaro, "TA-L7.5. Efficient estimation of target detection quality", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2232. Accessed: Sep. 20, 2017.
@article{2232-17,
url = {http://sigport.org/2232},
author = {Andrea Cavallaro },
publisher = {IEEE SigPort},
title = {TA-L7.5. Efficient estimation of target detection quality},
year = {2017} }
TY - EJOUR
T1 - TA-L7.5. Efficient estimation of target detection quality
AU - Andrea Cavallaro
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2232
ER -
Andrea Cavallaro. (2017). TA-L7.5. Efficient estimation of target detection quality. IEEE SigPort. http://sigport.org/2232
Andrea Cavallaro, 2017. TA-L7.5. Efficient estimation of target detection quality. Available at: http://sigport.org/2232.
Andrea Cavallaro. (2017). "TA-L7.5. Efficient estimation of target detection quality." Web.
1. Andrea Cavallaro. TA-L7.5. Efficient estimation of target detection quality [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2232

PRINCIPAL CURVATURE OF POINT CLOUD FOR 3D SHAPE RECOGNITION


In the recent years, we experienced the proliferation of sensors for retrieving depth information on a scene, such as LIDAR or RGBD sensors (Kinect). However, it is still a challenge to identify the meaning of a specific point cloud to recognize the underlying object. Here, we wonder if it is possible to define a global feature for an object that is robust to noise, sampling and occlusion. We propose a local measure based on curvature. We called it Principal Curvatures because rather than using the Gaussian curvature we keep the

SPC.pdf

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Authors:
Justin Lev , Joo-Hwee Lim , Nizar Ouarti
Submitted On:
18 September 2017 - 2:39am
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SPC.pdf

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[1] Justin Lev , Joo-Hwee Lim , Nizar Ouarti, "PRINCIPAL CURVATURE OF POINT CLOUD FOR 3D SHAPE RECOGNITION", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/2221. Accessed: Sep. 20, 2017.
@article{2221-17,
url = {http://sigport.org/2221},
author = {Justin Lev ; Joo-Hwee Lim ; Nizar Ouarti },
publisher = {IEEE SigPort},
title = {PRINCIPAL CURVATURE OF POINT CLOUD FOR 3D SHAPE RECOGNITION},
year = {2017} }
TY - EJOUR
T1 - PRINCIPAL CURVATURE OF POINT CLOUD FOR 3D SHAPE RECOGNITION
AU - Justin Lev ; Joo-Hwee Lim ; Nizar Ouarti
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/2221
ER -
Justin Lev , Joo-Hwee Lim , Nizar Ouarti. (2017). PRINCIPAL CURVATURE OF POINT CLOUD FOR 3D SHAPE RECOGNITION. IEEE SigPort. http://sigport.org/2221
Justin Lev , Joo-Hwee Lim , Nizar Ouarti, 2017. PRINCIPAL CURVATURE OF POINT CLOUD FOR 3D SHAPE RECOGNITION. Available at: http://sigport.org/2221.
Justin Lev , Joo-Hwee Lim , Nizar Ouarti. (2017). "PRINCIPAL CURVATURE OF POINT CLOUD FOR 3D SHAPE RECOGNITION." Web.
1. Justin Lev , Joo-Hwee Lim , Nizar Ouarti. PRINCIPAL CURVATURE OF POINT CLOUD FOR 3D SHAPE RECOGNITION [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/2221

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
Submitted On:
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: Sep. 20, 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
Submitted On:
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: Sep. 20, 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.

ICIP.pdf

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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: Sep. 20, 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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Submitted On:
17 September 2017 - 12:25am
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ICIP17_3503_slides.pdf

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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: Sep. 20, 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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icip_poster (v3).pdf

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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: Sep. 20, 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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Poster_ICIP_2017.pdf

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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: Sep. 20, 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: Sep. 20, 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

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