한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)

한국정보처리학회 (Korea Information Processing Society)
권호 표지
DOI QR코드

DOI QR Code

GLCM을 이용한 다중 베르누이 확률 변수 기반 자동 영상 동적 키워드 추출 방법

Automatically Dynamic Image Annotation Method Based on Multiple Bernoulli Relevance Models Using GLCM Feature

  • 박태준 (한양대학교 전자컴퓨터통신공학부)
  • Park, Tae-Joon (Dept. of Electronics and Computer Engineering, Han-Yang University)
  • 발행 : 2009.11.13
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, I propose an automatic approach to annotating images dynamically based on MBRM(Multiple Bernoulli Relevance Models) using GLCM(Grey Level Co-occurrence Matrix). MBRM is more appropriate to annotate images compare with multinomial distribution. The model is used in limited test set, MSRC-v2 (Microsoft Research Cambridge Image Database). The results show that this model is significantly outperforms previously reported results on the task of image annotation and retrieval.

키워드