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