Downloads: 116 | Views: 125
Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014
Survey on Content Based Face Image Retrieval and Attribute Detection
Bharti S. Satpute | Archana A. Chaugule
Abstract: Due to the popularity of image capturing digital devices and the ease of social network/photo sharing services (e. g. , Facebook, Twitter, Flickr), there are largely growing consumer photos available in database. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. This paper attempts to provide a comprehensive survey of the recent technical achievements in general content-based image retrieval systems and content-based face image retrieval systems. In addition, human attribute detection method and its result in different applications is also discussed. This paper also gives review on sparse coding and dictionary learning methods.
Keywords: content-based image retrieval, sparse coding, content-based face image retrieval, attribute detection
Edition: Volume 3 Issue 12, December 2014,
Pages: 234 - 238
Similar Articles with Keyword 'sparse coding'
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014Pages: 568 - 571
Efficient Retrieval of Face Image from Large Scale Database Using Sparse Coding and Reranking
P. Greeshma  | K. Palguna Rao 
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014Pages: 3195 - 3198
Centralized Sparse Representation Non-locally For Image Restoration
More Manisha Sarjerao | Prof. Shivale Nitin