ATTRIBUTE ENHANCED SPARSE CODING FOR FACE IMAGE RETRIEVAL

Authors

  • SAYED M PG Research Scholar, ICET

Keywords:

Face image, human attributes, content-based image retrieval, attribute enhanced sparse coding, attribute embedded sparse coding, high level features

Abstract

Content based face image retrieval is an emerging technology. It’s mainly used for face image verification technique. It’s a challenging technique since all the faces will be similar due to its similar geometrical configuration of face structure. In this paper we discuss about two types of face image retrieval technique: Attribute enhanced sparse coding and Attribute embedded sparse coding. In attribute enhanced sparse coding enhancement of attributes is done. Attribute enhanced sparse coding is online technique and while the other is offline method. These techniques can achieve above 43.5% improvement by comparing with existing techniques.

References

Y.-H. Lei, Y.-Y. Chen, L. Iida, B.-C. Chen, H.- H. Su, and W. H. Hsu, “Photo search by face positions and facial attributes on touch devices,”ACM Multimedia, 2011.

D. Wang, S. C. Hoi, Y. He, and J. Zhu,“Retrieval-based face annotation by weak label regularized local coordinate coding,” ACM Multimedia, 2011.

U. Park and A. K. Jain, “Face matching and retrieval using soft biometrics,” IEEE Transactions on Information Forensics and Security, 2010.

Z. Wu, Q. Ke, J. Sun, and H.-Y. Shum,“Scalable face image retrieval with identitybased quantization and multi-reference reranking,” IEEE Conference on Computer Vision and Pattern Recognition, 2010.

B.-C. Chen, Y.-H. Kuo, Y.-Y. Chen, K.-Y. Chu, and W. Hsu, “Semisupervised face image retrieval using sparse coding with identity constraint,” ACM Multimedia, 2011.

M. Douze and A. Ramisa and C. Schmid, “Combining Attributes and Fisher Vectors for Efficient Image Retrieval,” IEEE Conference on

Computer Vision and Pattern Recognition, 2011.

N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar, “Describable visual attributes for face verification and image search,” in IEEE

Transactions on Pattern Analysis and Machine Intelligence (PAMI), Special Issue on RealWorld Face Recognition, Oct 2011.

W. Scheirer, N. Kumar, K. Ricanek, T. E. Boult, and P. N. Belhumeur, “Fusing with context: a bayesian approach to combining descriptive attributes,” International Joint Conference on Biometrics, 2011.

B. Siddiquie, R. S. Feris, and L. S. Davis,“Image ranking and retrieval based on multiattribute queries,” IEEE Conference on Computer Vision and Pattern Recognition, 2011.

W. Scheirer and N. Kumar and P. Belhumeur and T. Boult, “Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity

Search,” IEEE

Downloads

Published

2024-02-26

How to Cite

SAYED, M. (2024). ATTRIBUTE ENHANCED SPARSE CODING FOR FACE IMAGE RETRIEVAL. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(09), 1087–1091. Retrieved from https://ijact.in/index.php/j/article/view/192

Issue

Section

Original Research Article

Similar Articles

<< < 2 3 4 5 6 7 8 9 10 11 > >> 

You may also start an advanced similarity search for this article.