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000722825 020__ $$a9783662450000$$qelectronic book
000722825 020__ $$a3662450003$$qelectronic book
000722825 020__ $$z9783662449998
000722825 0247_ $$a10.1007/978-3-662-45000-0$$2doi
000722825 035__ $$aSP(OCoLC)ocn899495730
000722825 035__ $$aSP(OCoLC)899495730
000722825 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dYDXCP$$dVT2$$dCOO$$dOCLCF
000722825 049__ $$aISEA
000722825 050_4 $$aQA268
000722825 08204 $$a003/.54$$223
000722825 1001_ $$aHuang, Yongzhen,$$eauthor.
000722825 24510 $$aFeature coding for image representation and recognition$$h[electronic resource] /$$cYongzhen Huang, Tieniu Tan.
000722825 264_1 $$aHeidelberg :$$bSpringer,$$c2014.
000722825 300__ $$a1 online resource (xiii, 74 pages) :$$billustrations (some color).
000722825 300__ $$a1 online resource.
000722825 336__ $$atext$$btxt$$2rdacontent
000722825 337__ $$acomputer$$bc$$2rdamedia
000722825 338__ $$aonline resource$$bcr$$2rdacarrier
000722825 4901_ $$aSpringerBriefs in Computer Science,$$x2191-5768
000722825 504__ $$aIncludes bibliographical references.
000722825 5050_ $$a1. Introduction -- 2. Taxonomy -- 3. Representative Feature Coding Algorithms -- 4. Evolution of Feature Coding -- 5. Experimental Study of Feature Coding -- 6. Enhancement via Integrating Spatial Information -- 7. Enhancement via Integrating High Order Coding Information -- 8. Conclusion.
000722825 506__ $$aAccess limited to authorized users.
000722825 520__ $$aThis brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline. The text offers a rich blend of theory and practice while reflects the recent developments on feature coding, covering the following five aspects: (1) Review the state-of-the-art, analyzing the motivations and mathematical representations of various feature coding methods; (2) Explore how various feature coding algorithms evolve along years; (3) Summarize the main characteristics of typical feature coding algorithms and categorize them accordingly; (4) Discuss the applications of feature coding in different visual tasks, analyze the influence of some key factors in feature coding with intensive experimental studies; (5) Provide the suggestions of how to apply different feature coding methods and forecast the potential directions for future work on the topic. It is suitable for students, researchers, practitioners interested in object recognition.
000722825 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 27, 2015).
000722825 650_0 $$aCoding theory.
000722825 650_0 $$aImage processing$$xDigital techniques.
000722825 7001_ $$aTan, Tieniu,$$eauthor.
000722825 77608 $$iPrint version:$$z9783662449998
000722825 830_0 $$aSpringerBriefs in computer science.
000722825 852__ $$bebk
000722825 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-45000-0$$zOnline Access$$91397441.1
000722825 909CO $$ooai:library.usi.edu:722825$$pGLOBAL_SET
000722825 980__ $$aEBOOK
000722825 980__ $$aBIB
000722825 982__ $$aEbook
000722825 983__ $$aOnline
000722825 994__ $$a92$$bISE