Content-based image retrieval : survey
Other Title(s)
استرجاع الصورة بالاعتماد على المحتوى : دراسة بحثية
Author
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 23, Issue 3 (31 May. 2019), pp.42-63, 22 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2019-05-31
Country of Publication
Iraq
No. of Pages
22
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Extensive use of digital photographic devices has resulted in large volumes of digital images being acquired and stored in databases.
Whether it is for scientific research, medical or social networking, there is a growing demand for effective retrieval of digital images based on their visual content (e.
g.
colour and texture).
Content-Based Image Retrieval systems are developed to meet this demand.
However, searching for similar and relevant images from large-scale databases still poses a challenge for Content-Based Image Retrieval systems due to the gap between high-level meaning and low-level visual features.
This paper reviews different Content-Based Image Retrieval approaches such as Clustering, Region-of-Interest, Bag-of-Visual-Words, Relevance Feedback, Browsing, and indexing that have been developed to reduce such “Semantic gap” issue.
So, the interested researchers can interest to determine which method is benefit to his work.
Extensive use of digital photographic devices has resulted in large volumes of digital images being acquired and stored in databases.
Whether it is for scientific research, medical or social networking, there is a growing demand for effective retrieval of digital images based on their visual content (e.
g.
colour and texture).
Content-Based Image Retrieval systems are developed to meet this demand.
However, searching for similar and relevant images from large-scale databases still poses a challenge for Content-Based Image Retrieval systems due to the gap between high-level meaning and low-level visual features.
This paper reviews different Content-Based Image Retrieval approaches such as Clustering, Region-of-Interest, Bag-of-Visual-Words, Relevance Feedback, Browsing, and indexing that have been developed to reduce such “Semantic gap” issue.
So, the interested researchers can interest to determine which method is benefit to his work.
American Psychological Association (APA)
al-Jabburi, Hanan Ahmad. 2019. Content-based image retrieval : survey. Journal of Engineering and Sustainable Development،Vol. 23, no. 3, pp.42-63.
https://search.emarefa.net/detail/BIM-1113307
Modern Language Association (MLA)
al-Jabburi, Hanan Ahmad. Content-based image retrieval : survey. Journal of Engineering and Sustainable Development Vol. 23, no. 3 (May. 2019), pp.42-63.
https://search.emarefa.net/detail/BIM-1113307
American Medical Association (AMA)
al-Jabburi, Hanan Ahmad. Content-based image retrieval : survey. Journal of Engineering and Sustainable Development. 2019. Vol. 23, no. 3, pp.42-63.
https://search.emarefa.net/detail/BIM-1113307
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1113307