Feature Coding for Image Representation and Recognition
Huang, Yongzhen; Tan, Tieniu
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Description for Feature Coding for Image Representation and Recognition
Paperback. Series: SpringerBriefs in Computer Science. Num Pages: 87 pages, 4 black & white illustrations, 32 colour illustrations, 3 black & white tables, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 5. Weight in Grams: 182.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
87
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
74
Place of Publication
Berlin, Germany
ISBN
9783662449998
SKU
V9783662449998
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Huang, Yongzhen; Tan, Tieniu
Yongzhen Huang received his B.E. degree from Huazhong University of Science and Technology in 2006 and his Ph.D. degree from Institute of Automation, Chinese Academy of Sciences (CASIA) in 2011. In July 2011, he joined the National Laboratory of Pattern Recognition (NLPR), CASIA, where he is currently an Associate Professor. He has published more than 30 papers in the areas ... Read more
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