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.

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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