06 3012405004818 Ciaco scrl onixsuitesupport@onixsuite.com 20260614 eng

COM.ONIXSUITE.9782874630996 03 02 i6doc 01 SKU 77039 02 2874630993 03 9782874630996 15 9782874630996 10 BC 01 GCOI 28001100445280 1 A01 Matei Mancas Mancas, Matei Matei Mancas 2 B01 Similar 1 01 eng 268 00 268 03 COM000000 29 2012 3238 Réseaux et Télécommunications 10 COM070000 10 COM072000 24 INTERNET Divers 01 06 01 Consciously or unconsciously, humans always pay attention to a wide variety of stimuli. Attention is part of daily life and it is the first step to understanding. The proposed thesis deals with a computational approach to the human attentional mechanism and with its possible applications mainly in the field of computer vision. In a first stage, the text introduces a rarity-based three-level attention model handling monodimensional signals as well as images or video sequences. The concept of attention is defined as the transformation of a huge acquired unstructured data set into a smaller structured one while preserving the information: the attentional mechanism turns rough data into intelligence. Afterwards, several applications are described in the fields of machine vision, signal coding and enhancement, medical imaging, event detection and so on. These applications not only show the applicability of the proposed computational attention method, but they also support the idea that similarly to the fact that attention is the beginning of intelligence in humans, computational attention may be the starting point of artificial intelligence in engineering applications. Several databases containing different kinds of signals were used to test the model and its applications: audio signals of natural complex ambiences and events, real-life video sequences as well as simulated sequences and finally natural scenes, textured or synthetic images. Results are presented in a clear and comprehensive way within each application providing the relevance of the use of the computational attention model. Finally, a large discussion is opened based on the theoretical and practical achievements and future extensions are proposed. 03 Consciously or unconsciously, humans always pay attention to a wide variety of stimuli. Attention is part of daily life and it is the first step to understanding. The proposed thesis deals with a computational approach to the human attentional mechanism and with its possible applications mainly in the field of computer vision. In a first stage, the text introduces a rarity-based three-level attention model handling monodimensional signals as well as images or video sequences. The concept of attention is defined as the transformation of a huge acquired unstructured data set into a smaller structured one while preserving the information: the attentional mechanism turns rough data into intelligence. Afterwards, several applications are described in the fields of machine vision, signal coding and enhancement, medical imaging, event detection and so on. These applications not only show the applicability of the proposed computational attention method, but they also support the idea that similarly to the fact that attention is the beginning of intelligence in humans, computational attention may be the starting point of artificial intelligence in engineering applications. Several databases containing different kinds of signals were used to test the model and its applications: audio signals of natural complex ambiences and events, real-life video sequences as well as simulated sequences and finally natural scenes, textured or synthetic images. Results are presented in a clear and comprehensive way within each application providing the relevance of the use of the computational attention model. Finally, a large discussion is opened based on the theoretical and practical achievements and future extensions are proposed. 02 Consciously or unconsciously, humans always pay attention to a wide variety of stimuli. Attention is part of daily life and it is the first step to understanding. The proposed thesis deals with a computational approach to the human... 43 SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields. 43 SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields. 44 <p>SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields.SIMILAR builds the foundations for future multimodal interfaces that respond efficiently to speech, gestures, vision, haptics and direct brain connections.Eight Special Interest Groups share the various short term tasks. Details are available at www.similar.cc.</p> 44 <p>SIMILAR is a network of excellence dedicated to multimodal interfaces research and supported by the 6th Framework of the European Commission. It gathers 32 European leading institutions from the human-computer interaction and signal processing fields.SIMILAR builds the foundations for future multimodal interfaces that respond efficiently to speech, gestures, vision, haptics and direct brain connections.Eight Special Interest Groups share the various short term tasks. Details are available at www.similar.cc.</p> 04 01 http://www.i6doc.com/resources/titles/28001100445280/images/75429d136f65d2d6168b9b6c5f6ec951/THUMBNAIL/9782874630996.jpg 17 03 01 https://i6doc.com/resources/publishers/35.jpg 18 09 01 https://i6doc.com/resources/publishers/73.png 38 https://i6doc.com/en/book/?GCOI=28001100445280 06 3052405007518 Presses universitaires de Louvain 01 06 3052405007518 Presses universitaires de Louvain 01 Presses universitaires de Louvain http://pul.uclouvain.be/ 04 20070101 2007 02 WORLD 01 8.27 in 02 7.28 in 03 1.44 in 08 15.38 oz 01 21 cm 02 18.50 cm 03 1.44 cm 08 436 gr 06 3012405004818 CIACO - DUC 33 www.i6doc.com http://www.i6doc.com 03 WORLD 01 2 20 1 02 00 02 02 STD 02 21.00 EUR R 6.00 19.81 1.19