Relevance of useful visual words in object retrieval

Siyuan Qi; Yupin Luo

doi:10.1117/12.2030555

19 July 2013 Relevance of useful visual words in object retrieval

Siyuan Qi, Yupin Luo

Author Affiliations +

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88781Y (2013) https://doi.org/10.1117/12.2030555
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

The most popular methods in object retrieval are almost based on bag-of-words(BOW) which is both effective and efficient. In this paper we present a method use the relations between words of the vocabulary to improve the retrieval performance based on the BOW framework. In basic BOW retrieval framework, only a few words of the vocabulary is useful for retrieval, which are spatial consistent in images. We introduce a method to useful select useful words and build a relevance between these words. We combine useful relevance with basic BOW framework and query expansion as well. The useful relevance is able to discover latent related words which is not exist in the query image, so that we can get a more accurate vector model for retrieval. Combined with query expansion method, the retrieval performance are better and fewer time cost.

Citation Download Citation

Siyuan Qi, Siyuan Qi, Yupin Luo, Yupin Luo, "Relevance of useful visual words in object retrieval", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88781Y (19 July 2013); doi: 10.1117/12.2030555; https://doi.org/10.1117/12.2030555

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years