Open AccessContent Based Image and Video Retrieval: A Compressive Review
Author(s) -
Sheetal Deepak Patil
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e2783.0610521
Subject(s) - computer science , information retrieval , image retrieval , field (mathematics) , visual word , video retrieval , image (mathematics) , computer vision , artificial intelligence , mathematics , pure mathematics
Content-based image retrieval is quickly becomingthe most common method of searching vast databases for images,giving researchers a lot of room to develop new techniques andsystems. Likewise, another common application in the field ofcomputer vision is content-based visual information retrieval. Forimage and video retrieval, text-based search and Web-based imagereranking have been the most common methods. Though ContentBased Video Systems have improved in accuracy over time, theystill fall short in interactive search. The use of these approacheshas exposed shortcomings such as noisy data and inaccuracy,which often result in the showing of irrelevant images or videos.The authors of the proposed study integrate image and visual datato improve the precision of the retrieved results for bothphotographs and videos. In response to a user's query, this studyinvestigates alternative ways for fetching high-quality photos andrelated videos.