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시맨틱 컨셉의 위치 구조를 이용한 자연 풍경 이미지 분류

Natural Scene Image Categorization using Structure of Location of Semantic Concepts

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참고문헌

키워드

주제분류과학기술학

초록

본 논문은 시맨틱 컨셉의 위치 구조를 이용해 이미지를 분류하는 기법을 제안한다. 제안 기법은 이미지를 구조적인 관점에서 위치에 따라 균일한 섹션으로 세분화하고 각 섹션이 포함하고 있는 시맨틱 컨셉을 분석하여 이미지를 분류하는 기법이다. 이를 위해 먼저 이미 분류되어 있는 이미지들을 수집하고, 이 수집된 정보를 사용하여 시맨틱 컨셉을 판독할 수 있는 색상 정보와 범주를 분류할 수 있는 시맨틱 컨셉에 대해 분석한다. 그리고 이러한 분석 결과를 이용해 질의 이미지와의 유사성을 측정하고 질의 이미지가 속하는 범주로 분류를 한다.

Abstract

In this paper, we propose the image categorization method using structure of location of the semantic concepts. The proposed method subdivides the image by location from structural perspective and analyzes the semantic concept in the subdivided each section. First, we collect categorized images, and analyze color information from the images for extracting semantic concept, and the semantic concept extracted from the color information for image categorization. Lastly, the similarity of the images are measured between a query image and the representative images predefined in categories.

참고문헌 (36)

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