Design for Photo Image Search using Semantic Method

Main Article Content

Byeongtae Ahn

Abstract

Image semantic retrieval has been a crux to bridge "semantic gap" between the simple visual features and the abundant semantics delivered by a image. Effective image retrieval using semantics is one of the major challenges in image retrieval. We suggest a semantic retrieval and clustering method of image using image annotation user interface. And also design and implement a image semantic search management system that facilitates image management and semantic retrieval, which fully relies on the MPEG-7 standard as information base, and using a native XML database, which is
Berkeley DB XML.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Byeongtae Ahn. (2021). Design for Photo Image Search using Semantic Method. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(14), 5580–5586. https://doi.org/10.17762/turcomat.v12i14.11695
Section
Research Articles

Most read articles by the same author(s)

1 2 > >>