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 Liangtien Chia

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Average citations per article17.38
Citation Count139
Publication count8
Publication years2011-2014
Available for download1
Average downloads per article224.00
Downloads (cumulative)224
Downloads (12 Months)17
Downloads (6 Weeks)2
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1
April 2014 IEEE Transactions on Multimedia: Volume 16 Issue 3, April 2014
Publisher: IEEE Press
Bibliometrics:
Citation Count: 3

We present a multi-layer group sparse coding framework for concurrent single-label image classification and annotation. By leveraging the dependency between image class label and tags, we introduce a multi-layer group sparse structure of the reconstruction coefficients. Such structure fully encodes the mutual dependency between the class label, which describes image ...

2 published by ACM
April 2013 ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems: Volume 4 Issue 2, March 2013
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 2,   Downloads (12 Months): 17,   Downloads (Overall): 224

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Image-To-Class (I2C) distance is a novel distance used for image classification and has successfully handled datasets with large intra-class variances. However, it uses Euclidean distance for measuring the distance between local features in different classes, which may not be the optimal distance metric in real image classification problems. In this ...
Keywords: Image-to-class distance, distance metric learning, image classification, nearest-neighbor classification

3
February 2013 IEEE Transactions on Image Processing: Volume 22 Issue 2, February 2013
Publisher: IEEE Press
Bibliometrics:
Citation Count: 34

Recent research has shown the initial success of sparse coding (Sc) in solving many computer vision tasks. Motivated by the fact that kernel trick can capture the nonlinear similarity of features, which helps in finding a sparse representation of nonlinear features, we propose kernel sparse representation (KSR). Essentially, KSR is ...

4
January 2013 IEEE Transactions on Pattern Analysis and Machine Intelligence: Volume 35 Issue 1, January 2013
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 55

Sparse coding exhibits good performance in many computer vision applications. However, due to the overcomplete codebook and the independent coding process, the locality and the similarity among the instances to be encoded are lost. To preserve such locality and similarity information, we propose a Laplacian sparse coding (LSc) framework. By ...
Keywords: Laplacian sparse coding, hypergraph Laplacian sparse coding, image classification, semi-auto image tagging, locality preserving

5
August 2012 IEEE Transactions on Image Processing: Volume 21 Issue 8, August 2012
Publisher: IEEE Press
Bibliometrics:
Citation Count: 8

We present a new image quality assessment algorithm based on the phase and magnitude of the 2-D discrete Fourier transform. The basic idea is to compare the phase and magnitude of the reference and distorted images to compute the quality score. However, it is well known that the human visual ...

6
July 2012 ICME '12: Proceedings of the 2012 IEEE International Conference on Multimedia and Expo
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 2

Multimedia applications like retrieval, copy detection etc. can gain from saliency detection, which is essentially a method to identify areas in images and videos that capture the attention of the human visual system. In this paper, we propose a new spatiotemporal saliency framework for videos based on sparse representation. For ...
Keywords: Spatiotemporal saliency detection, Sparse coding, Motion trajectory

7
May 2012 IEEE Transactions on Audio, Speech, and Language Processing: Volume 20 Issue 4, May 2012
Publisher: IEEE Press
Bibliometrics:
Citation Count: 6

Objective speech quality assessment is a challenging task which aims to emulate human judgment in the complex and time consuming task of subjective assessment. It is difficult to perform in line with the human perception due the complex and nonlinear nature of the human auditory system. The challenge lies in ...

8
June 2011 CVPR '11: Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 13

We present a multi-layer group sparse coding framework for concurrent image classification and annotation. By leveraging the dependency between image class label and tags, we introduce a multi-layer group sparse structure of the reconstruction coefficients. Such structure fully encodes the mutual dependency between the class label, which describes the image ...
Keywords: NUS-WIDE-object database, concurrent image classification, concurrent image annotation, multilayer group sparse coding framework, image class label, image class tags, reconstruction coefficient multilayer group sparse structure, multilayer group based tag propagation method, reproducing kernel Hilbert space, LabelMe database, UIUC-sport database



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