000755337 000__ 02842cam\a2200457Ii\4500 000755337 001__ 755337 000755337 005__ 20230306141843.0 000755337 006__ m\\\\\o\\d\\\\\\\\ 000755337 007__ cr\cn\nnnunnun 000755337 008__ 160513s2016\\\\sz\a\\\\ob\\\\000\0\eng\d 000755337 019__ $$a950466085$$a953022736 000755337 020__ $$a9783319337968$$q(electronic book) 000755337 020__ $$a3319337963$$q(electronic book) 000755337 020__ $$z9783319337944 000755337 035__ $$aSP(OCoLC)ocn949759439 000755337 035__ $$aSP(OCoLC)949759439$$z(OCoLC)950466085$$z(OCoLC)953022736 000755337 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dIDEBK$$dYDXCP$$dOCLCF$$dAZU$$dEBLCP$$dCOO$$dVT2 000755337 049__ $$aISEA 000755337 050_4 $$aTJ211.3 000755337 08204 $$a629.8/92637$$223 000755337 1001_ $$aSchauerte, Boris,$$eauthor. 000755337 24510 $$aMultimodal computational attention for scene understanding and robotics$$h[electronic resource] /$$cBoris Schauerte. 000755337 264_1 $$aSwitzerland :$$bSpringer,$$c2016. 000755337 300__ $$a1 online resource (xxiv, 203 pages) :$$billustrations. 000755337 336__ $$atext$$btxt$$2rdacontent 000755337 337__ $$acomputer$$bc$$2rdamedia 000755337 338__ $$aonline resource$$bcr$$2rdacarrier 000755337 4901_ $$aCognitive systems monographs,$$x1867-4925 ;$$vvolume 30 000755337 504__ $$aIncludes bibliographical references. 000755337 5050_ $$aIntroduction -- Background -- Bottom-up Audio-Visual Attention for Scene Exploration -- Multimodal Attention with Top-Down Guidance -- Conclusion -- Applications -- Dataset Overview. 000755337 506__ $$aAccess limited to authorized users. 000755337 520__ $$aThis book presents state-of-the-art computational attention models that have been successfully tested in diverse application areas and can build the foundation for artificial systems to efficiently explore, analyze, and understand natural scenes. It gives a comprehensive overview of the most recent computational attention models for processing visual and acoustic input. It covers the biological background of visual and auditory attention, as well as bottom-up and top-down attentional mechanisms and discusses various applications. In the first part new approaches for bottom-up visual and acoustic saliency models are presented and applied to the task of audio-visual scene exploration of a robot. In the second part the influence of top-down cues for attention modeling is investigated. . 000755337 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 19, 2016). 000755337 650_0 $$aRobot vision. 000755337 650_0 $$aHuman-robot interaction. 000755337 77608 $$iPrint version:$$aSchauerte, Boris.$$tMultimodal Computational Attention for Scene Understanding and Robotics.$$dCham : Springer International Publishing, ©2016$$z9783319337944 000755337 830_0 $$aCognitive systems monographs ;$$vv. 30. 000755337 852__ $$bebk 000755337 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-33796-8$$zOnline Access$$91397441.1 000755337 909CO $$ooai:library.usi.edu:755337$$pGLOBAL_SET 000755337 980__ $$aEBOOK 000755337 980__ $$aBIB 000755337 982__ $$aEbook 000755337 983__ $$aOnline 000755337 994__ $$a92$$bISE