Dr. Songhao Zhu Profile

Dr. Songhao Zhu

at Shanghai Jiao Tong Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

SPIE Journal Paper | 1 November 2008

Improving image retrieval effectiveness via random walk with restart

Songhao Zhu, Yuncai Liu

OE, Vol. 47, Issue 11, 117003, (November 2008) https://doi.org/10.1117/12.10.1117/1.3027481

KEYWORDS: Image retrieval, Image processing, Databases, Content based image retrieval, Optical engineering, Feature extraction, Statistical modeling, Statistical analysis, Fuzzy logic, Digital imaging

Read Abstract +

Content-based image retrieval plays an important role in the management of a large image database. However, the results of the state-of-the-art image retrieval approaches are not as satisfactory for the well-known gap between visual features and semantic concepts. Therefore, a novel scheme is proposed, consisting of three major components: prefiltering processing, relevance score computation, and candidate ranking refinement. First, to tackle the problem of the large computation cost involved in a large image database, a prefiltering process is utilized to filter out the most irrelevant images while keeping the most relevant images according to the results of the manifold-ranking algorithm. Second, the relevance between the query image and the remaining images is measured based on probability density estimation, and the obtained relevance scores are stored for a later refinement process. Finally, a transductive model, a random walk with a restart algorithm, is used to refine candidate ranking by taking into account both the pairwise information of unlabeled samples and the relevance scores between the input query sample and unlabeled samples. Experiments conducted on a typical Corel data set demonstrate the effectiveness of the proposed scheme.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years