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.
Highlights
This paper is very effective in image retrieval system based on embedded database in mobile environment based on MPEC-7 standard
This system reinforces the image semantic retrieval function based on the contents that are interchangeable with standard MPEG-7 multimedia technology
SYSTEM IMPLEMENTATION The image semantic retrieval system was implemented in a mobile environment, and a highly portable JAVA based on MS Window XP was used as the development environment. 5.1 Annotation User Interface
Summary
Image retrieval research is largely composed of two types of approaches It is a text-based metadata image search and a content-based metadata image search. When searching for images that require accurate question expressions, the text-based approach has limitations compared to content-based search when it is difficult to extract clear feature questions. To solve this problem, we propose a content-based image retrieval technique using semantics. MPEC-7 enables efficient search by describing standardized image semantic information in metadata for multimedia objects, and by using metadata, it can represent special features of the body such as title, author, image content, and color histogram of the descriptor.
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