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ORCIDVisual Content Indexing and Retrieval with Psycho-Visual Models 2017
- Jenny Benois-Pineau, Patrick Le Callet:
Visual Content Indexing and Retrieval with Psycho-Visual Models. Springer 2017, ISBN 978-3-319-57686-2 - Patrick Le Callet, Jenny Benois-Pineau:
Visual Content Indexing and Retrieval with Psycho-Visual Models. 1-10 - Karam Naser, Vincent Ricordel, Patrick Le Callet:
Perceptual Texture Similarity for Machine Intelligence Applications. 11-41 - Souad Chaabouni, Jenny Benois-Pineau, Akka Zemmari
, Chokri Ben Amar:
Deep Saliency: Prediction of Interestingness in Video with CNN. 43-74 - Syntyche Gbèhounou, Thierry Urruty, François Lecellier, Christine Fernandez-Maloigne:
Introducing Image Saliency Information into Content Based Indexing and Emotional Impact Analysis. 75-101 - Michael Dorr, Eleonora Vig:
Saliency Prediction for Action Recognition. 103-124 - Axel Carlier, Lilian Calvet, Pierre Gurdjos, Vincent Charvillat, Wei Tsang Ooi:
Querying Multiple Simultaneous Video Streams with 3D Interest Maps. 125-144 - Vincent Courboulay, Arnaud Revel:
Information: Theoretical Model for Saliency Prediction - Application to Attentive CBIR. 145-170 - Adrian G. Bors, Alex Papushoy:
Image Retrieval Based on Query by Saliency Content. 171-209 - Pol Kennel, Frédéric Comby, William Puech:
Visual Saliency for the Visualization of Digital Paintings. 211-232 - Claire-Hélène Demarty, Mats Sjöberg, Mihai Gabriel Constantin, Ngoc Q. K. Duong, Bogdan Ionescu, Thanh-Toan Do, Hanli Wang:
Predicting Interestingness of Visual Content. 233-265
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