Open AccessA Study on Image Search System using Semantics Based on Smartphone
Author(s) -
Byeongtae Ahn
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.e2841.0610521
Subject(s) - image retrieval , automatic image annotation , computer science , information retrieval , semantic gap , semantics (computer science) , visual word , xml , semantic search , image (mathematics) , artificial intelligence , search engine , world wide web , programming language
Image semantic retrieval has been a crux to bridge"semantic gap" between the simple visual features and theabundant semantics delivered by a image. Effective imageretrieval using semantics is one of the major challenges in imageretrieval. We suggest a semantic retrieval and clustering methodof image using image annotation user interface. And also designand implement a image semantic search management system thatfacilitates image management and semantic retrieval, which fullyrelies on the MPEG-7 standard as information base, and using anative XML database, which is Berkeley DB XML.