000756233 000__ 05111cam\a2200553\i\4500 000756233 001__ 756233 000756233 005__ 20230306142005.0 000756233 006__ m\\\\\o\\d\\\\\\\\ 000756233 007__ cr\nn\nnnunnun 000756233 008__ 160629t20162016nyua\\\\ob\\\\001\0\eng\d 000756233 019__ $$a952705922 000756233 020__ $$a9781493934355$$q(electronic book) 000756233 020__ $$z9781493934331 000756233 0247_ $$a10.1007/978-1-4939-3435-5$$2doi 000756233 035__ $$aSP(OCoLC)ocn953142316 000756233 035__ $$aSP(OCoLC)953142316$$z(OCoLC)952705922 000756233 040__ $$aAZU$$beng$$erda$$epn$$cAZU$$dN$T$$dYDXCP$$dIDEBK$$dGW5XE$$dOCLCO$$dEBLCP$$dN$T$$dOCLCF$$dTXM$$dCOO 000756233 042__ $$apcc 000756233 049__ $$aISEA 000756233 050_4 $$aRC321-580 000756233 08204 $$a006.3$$223 000756233 24500 $$aFrom human attention to computational attention$$h[electronic resource] :$$ba multidisciplinary approach /$$cMatei Mancas, Vincent P. Ferrera, Nicolas Riche, John G. Taylor, editors. 000756233 264_1 $$aNew York, NY :$$bSpringer,$$c[2016] 000756233 264_4 $$c©2016 000756233 300__ $$a1 online resource (viii, 463 pages) :$$billustrations 000756233 336__ $$atext$$btxt$$2rdacontent 000756233 337__ $$acomputer$$bc$$2rdamedia 000756233 338__ $$aonline resource$$bcr$$2rdacarrier 000756233 347__ $$atext file$$bPDF$$2rda 000756233 4901_ $$aSpringer Series in Cognitive and Neural Systems,$$x2363-9105 ;$$v10 000756233 504__ $$aIncludes bibliographic references and index. 000756233 5050_ $$aWhy do computers need attention? / Matei Mancas, Vincent P. Ferrera, and Nicolas Riche -- What is attention? / Matei Mancas -- How to measure attention? / Matei Mancas and Vincent P. Ferrera -- Where: Human attention networks and their dysfunctions after brain damage / Tal Seidel Malkinson and Paolo Bartolomeo -- Attention and signal detection: a practical guide / Vincent P. Ferrera -- Effects of attention in visual cortex: linking single neuron physiology to visual detection and discrimination / Vincent P. Ferrera -- Modeling attention in engineering / Matei Mancas -- Bottom-up visual attention for still images: a global view / Fred Stentiford -- Bottom-up saliency models for still images: a practical review / Nicolas Riche and Matei Mancas -- Bottom-up saliency models for videos: a practical review / Nicolas Riche and Matei Mancas -- Databases for saliency model evaluation / Nicolas Riche -- Metrics for saliency model validation, Nicolas Riche -- Study of parameters affecting visual saliency assessment / Nicolas Riche -- Saliency model evaluation / Nicolas Riche -- Object-based attention: cognitive and computational perspectives / Anna Belardinelli -- Multimodal saliency models for videos / Antoine Coutrot and Nathalie Guyader -- Toward 3D visual saliency modeling / Leroy Julien and Nicolas Riche -- Applications of saliency models / Matei Mancas and Olivier Le Meur -- Attentive content-based image retrieval / Dounia Awad, Vincent Courboulay, and Arnaud Revel -- Saliency and attention for video quality assessment / Dubravko Culibrk -- Attentive robots / Simone Frintrop -- The future of attention models: information seeking and self-awareness / Matei Mancas, Vincent P. Ferrera, and Nicolas Riche -- Index. 000756233 506__ $$aAccess limited to authorized users. 000756233 520__ $$aThis both accessible and exhaustive book will help to improve modeling of attention and to inspire innovations in industry. It introduces the study of attention and focuses on attention modeling, addressing such themes as saliency models, signal detection and different types of signals, as well as real-life applications. The book is truly multi-disciplinary, collating work from psychology, neuroscience, engineering and computer science, amongst other disciplines. What is attention? We all pay attention every single moment of our lives. Attention is how the brain selects and prioritizes information. The study of attention has become incredibly complex and divided: this timely volume assists the reader by drawing together work on the computational aspects of attention from across the disciplines. Those working in the field as engineers will benefit from this book's introduction to the psychological and biological approaches to attention, and neuroscientists can learn about engineering work on attention. The work features practical reviews and chapters that are quick and easy to read, as well as chapters which present deeper, more complex knowledge. Everyone whose work relates to human perception, to image, audio and video processing will find something of value in this book, from students to researchers and those in industry. . 000756233 650_0 $$aMedicine. 000756233 650_0 $$aHuman physiology. 000756233 650_0 $$aNeurosciences. 000756233 650_0 $$aArtificial intelligence. 000756233 650_0 $$aImage processing. 000756233 7001_ $$aMancas, Matei,$$eeditor. 000756233 7001_ $$aFerrera, Vincent P.,$$eeditor. 000756233 7001_ $$aRiche, Nicolas,$$eeditor. 000756233 7001_ $$aTaylor, J. G.$$q(John Gerald),$$d1931-2012,$$eeditor. 000756233 77608 $$iPrint version:$$z9781493934331 000756233 830_0 $$aSpringer series in cognitive and neural systems ;$$v10. 000756233 852__ $$bebk 000756233 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4939-3435-5$$zOnline Access$$91397441.1 000756233 909CO $$ooai:library.usi.edu:756233$$pGLOBAL_SET 000756233 980__ $$aEBOOK 000756233 980__ $$aBIB 000756233 982__ $$aEbook 000756233 983__ $$aOnline 000756233 994__ $$a92$$bISE