Matches in SemOpenAlex for { <https://semopenalex.org/work/W2494323938> ?p ?o ?g. }
- W2494323938 endingPage "76" @default.
- W2494323938 startingPage "54" @default.
- W2494323938 abstract "Even the enormous processing capacity of the human brain is not enough to handle all the visual sensory information that falls upon the retina. Still human beings can efficiently respond to the external stimuli. Selective attention plays an important role here. It helps to select only the pertinent portions of the scene being viewed for further processing at the deeper brain. Computational modeling of this neuro-psychological phenomenon has the potential to enrich many computer vision tasks. Enormous amounts of research involving psychovisual experiments and computational models of attention have been and are being carried out all within the past few decades. This article compiles a good volume of these research efforts. It also discusses various aspects related to computational modeling of attention–such as, choice of features, evaluation of these models, and so forth." @default.
- W2494323938 created "2016-08-23" @default.
- W2494323938 creator A5007233304 @default.
- W2494323938 date "2014-01-01" @default.
- W2494323938 modified "2023-10-14" @default.
- W2494323938 title "Computational Models of Visual Attention" @default.
- W2494323938 cites W134309601 @default.
- W2494323938 cites W1504235329 @default.
- W2494323938 cites W1678355425 @default.
- W2494323938 cites W1707366213 @default.
- W2494323938 cites W1763512962 @default.
- W2494323938 cites W1963703376 @default.
- W2494323938 cites W1966823298 @default.
- W2494323938 cites W1967011375 @default.
- W2494323938 cites W1968001820 @default.
- W2494323938 cites W1969258103 @default.
- W2494323938 cites W1975522663 @default.
- W2494323938 cites W1987794317 @default.
- W2494323938 cites W2000674655 @default.
- W2494323938 cites W2001590643 @default.
- W2494323938 cites W2013531076 @default.
- W2494323938 cites W2021877474 @default.
- W2494323938 cites W2030031014 @default.
- W2494323938 cites W2032256331 @default.
- W2494323938 cites W2035603001 @default.
- W2494323938 cites W2040568291 @default.
- W2494323938 cites W2040708466 @default.
- W2494323938 cites W2041316488 @default.
- W2494323938 cites W2049999567 @default.
- W2494323938 cites W2053218741 @default.
- W2494323938 cites W2068347803 @default.
- W2494323938 cites W2081672701 @default.
- W2494323938 cites W2089597841 @default.
- W2494323938 cites W2093353037 @default.
- W2494323938 cites W2096028757 @default.
- W2494323938 cites W2100682001 @default.
- W2494323938 cites W2103666701 @default.
- W2494323938 cites W2105427857 @default.
- W2494323938 cites W2109937319 @default.
- W2494323938 cites W2119228922 @default.
- W2494323938 cites W2120807798 @default.
- W2494323938 cites W2122710056 @default.
- W2494323938 cites W2122896223 @default.
- W2494323938 cites W2127807804 @default.
- W2494323938 cites W2128272608 @default.
- W2494323938 cites W2129865252 @default.
- W2494323938 cites W2130184867 @default.
- W2494323938 cites W2132545685 @default.
- W2494323938 cites W2140277155 @default.
- W2494323938 cites W2144764737 @default.
- W2494323938 cites W2144954512 @default.
- W2494323938 cites W2149095485 @default.
- W2494323938 cites W2150798473 @default.
- W2494323938 cites W2153174402 @default.
- W2494323938 cites W2158408454 @default.
- W2494323938 cites W2160834624 @default.
- W2494323938 cites W2160903697 @default.
- W2494323938 cites W2162325286 @default.
- W2494323938 cites W2166383238 @default.
- W2494323938 cites W2166715233 @default.
- W2494323938 cites W2167351270 @default.
- W2494323938 cites W2169461290 @default.
- W2494323938 cites W4205203398 @default.
- W2494323938 cites W4211165038 @default.
- W2494323938 cites W4243635291 @default.
- W2494323938 cites W4245577102 @default.
- W2494323938 cites W4247819542 @default.
- W2494323938 cites W4251019013 @default.
- W2494323938 cites W4251465276 @default.
- W2494323938 cites W4256003687 @default.
- W2494323938 cites W4231985096 @default.
- W2494323938 doi "https://doi.org/10.4018/978-1-4666-4558-5.ch004" @default.
- W2494323938 hasPublicationYear "2014" @default.
- W2494323938 type Work @default.
- W2494323938 sameAs 2494323938 @default.
- W2494323938 citedByCount "8" @default.
- W2494323938 countsByYear W24943239382015 @default.
- W2494323938 countsByYear W24943239382016 @default.
- W2494323938 countsByYear W24943239382017 @default.
- W2494323938 countsByYear W24943239382019 @default.
- W2494323938 countsByYear W24943239382022 @default.
- W2494323938 crossrefType "book-chapter" @default.
- W2494323938 hasAuthorship W2494323938A5007233304 @default.
- W2494323938 hasConcept C154945302 @default.
- W2494323938 hasConcept C15744967 @default.
- W2494323938 hasConcept C169760540 @default.
- W2494323938 hasConcept C169900460 @default.
- W2494323938 hasConcept C188147891 @default.
- W2494323938 hasConcept C26760741 @default.
- W2494323938 hasConcept C2778251979 @default.
- W2494323938 hasConcept C2986089797 @default.
- W2494323938 hasConcept C41008148 @default.
- W2494323938 hasConcept C66024118 @default.
- W2494323938 hasConceptScore W2494323938C154945302 @default.
- W2494323938 hasConceptScore W2494323938C15744967 @default.
- W2494323938 hasConceptScore W2494323938C169760540 @default.
- W2494323938 hasConceptScore W2494323938C169900460 @default.
- W2494323938 hasConceptScore W2494323938C188147891 @default.