Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
12-2011
Abstract
Retrieval-based face annotation is a promising paradigm in mining massive web facial images for automated face annotation. Such an annotation paradigm usually encounters two key challenges. The first challenge is how to efficiently retrieve a short list of most similar facial images from facial image databases, and the second challenge is how to effectively perform annotation by exploiting these similar facial images and their weak labels which are often noisy and incomplete. In this paper, we mainly focus on tackling the second challenge of the retrieval-based face annotation paradigm. In particular, we propose an effective Weak Label Regularized Local Coordinate Coding (WLRLCC) technique, which exploits the local coordinate coding principle in learning sparse features, and meanwhile employs the graph-based weak label regularization principle to enhance the weak labels of the short list of similar facial images. We present an efficient optimization algorithm to solve the WLRLCC task, and develop an effective sparse reconstruction scheme to perform the final face name annotation. We conduct a set of extensive empirical studies on a large-scale facial image database with a total of 6, 000 persons and over 600, 000 web facial images, in which encouraging results show that the proposed WLRLCC algorithm significantly boosts the performance of the regular retrieval-based face annotation approaches.
Keywords
Unsupervised learning, Auto face annotation, Web facial images
Discipline
Databases and Information Systems | Numerical Analysis and Computation
Research Areas
Data Science and Engineering
Publication
MM '11: Proceedings of the 19th ACM International Conference on Multimedia, Scottsdale, AZ, November 28 - December 1
First Page
353
Last Page
362
ISBN
9781450306164
Identifier
10.1145/2072298.2072345
Publisher
ACM
City or Country
New York
Citation
WANG, Dayong; HOI, Steven C. H.; HE, Ying; and ZHU, Jianke.
Retrieval-based face annotation by weak label regularized local coordinate coding. (2011). MM '11: Proceedings of the 19th ACM International Conference on Multimedia, Scottsdale, AZ, November 28 - December 1. 353-362.
Available at: https://ink.library.smu.edu.sg/sis_research/4180
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2072298.2072345