DocumentCode :
2343650
Title :
A Survey on Recent Image Indexing and Retrieval Techniques for Low-Level Feature Extraction in CBIR Systems
Author :
Juneja, Komal ; Verma, Akhilesh ; Goel, Savita ; Goel, Swati
Author_Institution :
Dept. of CSE, AKGEC, Ghaziabad, India
fYear :
2015
fDate :
13-14 Feb. 2015
Firstpage :
67
Lastpage :
72
Abstract :
In the modern era, with the explosive growth of image databases, huge amount of image and video archive led to rise of a new research and development of efficient method to searching, locating and retrieving of image. For this purpose, an efficient tool for searching, locating and retrieval of image is required. This paper presenting a survey on low level feature description techniques for Content Based Image Retrieval is presented with its various applications.
Keywords :
content-based retrieval; database indexing; feature extraction; video databases; video retrieval; CBIR systems; content based image retrieval; image archive; image databases; image indexing technique; image location; image retrieval technique; image search; low-level feature description techniques; video archive; Biomedical measurement; Feature extraction; Image color analysis; Image retrieval; Noise; Vectors; Content-Based Image Retrieval (CBIR); Feature Extraction; Similarity measurement and Performance Parameters; Texture Feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4799-6022-4
Type :
conf
DOI :
10.1109/CICT.2015.92
Filename :
7078669
Link To Document :
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