Earticle

초록

영어

The feature description of image and the index mechanism of the feature are the keys to realize the content-based image retrieval, aiming at the problem of massive image data and “dimension curse”, this paper proposes the BOF-based image retrieval improved algorithm, and combines with VLAD and soft assignment it generates the soft assignment local aggregation descriptor (SA-VLAD) which has a better ability to resist the dimension reduction and a higher recognition rate. When the index mechanism IVFADC is at query time, to ensure the recall ratio and precision rate of the result, the candidates inverted index chain are increased, which leads to the problems of distance calculation and the query time’s increasing. For this point, in the index phase, the scattered distribution is carried out aiming at the database vector, which reduces the burden of distance calculation, and improves the quality of the query results at the same time. The experimental results show that the algorithm in this paper obtains a good effect in the content-based massive image database retrieval.

목차

Abstract
 1. Introduction
 2. The Soft Assignment Based on Local Aggregation
 3. The Inverted Index Mechanism Based on Scattered Assignment
 4. The Simulation Experiment and Analysis
 5. Conclusion
 References

키워드

저자

• Lu Hai Hong [ Institute of IoT & IT-based Industrialization Xi'An University of Post & Telecommunication, Xi'an, Shanxi, China ]
• Zhu Zhi Xiang [ Institute of IoT & IT-based Industrialization Xi'An University of Post & Telecommunication, Xi'an, Shanxi, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605