A Study on Image Search System using Semantics Based on Smartphone
Byeongtae Ahn

Byeongtae Ahn*, Liberal & Arts College, Anyang University, Anyang-shi, South Korea. 
Manuscript received on June 16, 2021. | Revised Manuscript received on June 19, 2021. | Manuscript published on June 30, 2021. | PP: 381-385 | Volume-10 Issue-5, June 2021. | Retrieval Number: 100.1/ijeat.E28410610521 | DOI: 10.35940/ijeat.E2841.0610521
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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. 
Keywords: Semantic, MPEG-7, Image Search, Berkeley DB, Metadata
Scope of the Article: Semantic web