We present an improved sketch-based image search framework through which users can search their target images from the images in database. Our basic approach is to search the database by comparing the user-created sketch with the graph extracted from the images in the database and estimating the similarity. The images of high similarities are suggested as the candidates that match the target image. To improve the accuracy of the matching process, we substitute the graph-based representation of images with vectorized coherent lines, which are known as one of the most precise schemes in extracting and describing important features in an image. By the experiments on 820 images of 32 categories, we prove that our scheme shows higher matching accuracy than the existing schemes.
목차
Abstract 1. Introduction 2. Related Work 3. Overview of the System 4. Algorithm 4.1. Coherent Line Drawing 4.2. Indexiable Oriented Chamfer Matching 4.3. Two-way Matching 5. Experiments and Results 5.1. Parameters 5.2. Comparison of the Experiments 5.3. Results 6. Conclusion and Future Work Acknowledgement Reference
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.6