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Feature coding for image representation and recognition / / by Yongzhen Huang, Tieniu Tan



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Autore: Huang Yongzhen Visualizza persona
Titolo: Feature coding for image representation and recognition / / by Yongzhen Huang, Tieniu Tan Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (80 p.)
Disciplina: 004
005.1
006.3
006.37
Soggetto topico: Pattern recognition
Optical data processing
Artificial intelligence
Algorithms
Pattern Recognition
Image Processing and Computer Vision
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Persona (resp. second.): TanTieniu
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 1. 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.
Sommario/riassunto: This 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.
Titolo autorizzato: Feature Coding for Image Representation and Recognition  Visualizza cluster
ISBN: 3-662-45000-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910298970103321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: SpringerBriefs in Computer Science, . 2191-5768