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 Szuhao Huang

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Bibliometrics: publication history
Average citations per article1.38
Citation Count11
Publication count8
Publication years2004-2012
Available for download1
Average downloads per article646.00
Downloads (cumulative)646
Downloads (12 Months)44
Downloads (6 Weeks)4
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8 results found Export Results: bibtexendnoteacmrefcsv

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1
January 2012 Advanced Engineering Informatics: Volume 26 Issue 1, January, 2012
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 3

This paper presents a virtual try-on system based on augmented reality for design personalization of facial accessory products. The system offers several novel functions that support real-time evaluation and modification of eyeglasses frame. 3D glasses model is embedded within video stream of the person who is wearing the glasses. Machine ...
Keywords: Machining learning, Parametric design, Personalization, Augmented reality

2 published by ACM
May 2011 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 2 Issue 3, April 2011
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 44,   Downloads (Overall): 646

Full text available: PDFPDF
Behavioral finance is a relatively new and developing research field which adopts cognitive psychology and emotional bias to explain the inefficient market phenomenon and some irrational trading decisions. Unlike the experts in this field who tried to reason the price anomaly and applied empirical evidence in many different financial markets, ...
Keywords: Behavioral finance, classification, machine learning

3
January 2011 MMM'11: Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

In a network of cameras, people localization is an important issue. Traditional methods utilize camera calibration and combine results of background subtraction in different views to locate people in the three dimensional space. Previous methods usually solve the localization problem iteratively based on background subtraction results, and high-level image information ...
Keywords: multi-camera surveillance, human localization, video surveillance, probabilistic occupancy map

4
January 2008 MMM'08: Proceedings of the 14th international conference on Advances in multimedia modeling
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In this paper, we present an adaptive foreground object extraction algorithm for real-time video surveillance, in conjunction with a human detection technique applied in the extracted foreground regions by using AdaBoost learning algorithm and Histograms of Oriented Gradient (HOG) descriptors. Furthermore, a RANSAC-based temporal tracking algorithm is also applied to ...
Keywords: RANSAC, human detection, lighting variation, foreground extraction, surveillance, background subtraction

5
August 2006 Multimedia Systems: Volume 12 Issue 1, August 2006
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 2

Boost learning algorithm, such as AdaBoost, has been widely used in a variety of applications in multimedia and computer vision. Relevance feedback-based image retrieval has been formulated as a classification problem with a small number of training samples. Several machine learning techniques have been applied to this problem recently. In ...
Keywords: Image retrieval, AdaBoost, Paired feature learning, Relevance feedback

6
July 2005 CIVR'05: Proceedings of the 4th international conference on Image and Video Retrieval
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In this paper, we propose a novel paired feature learning system for relevance feedback based image retrieval. To facilitate density estimation in our feature learning system, we employ an ID3-like balance tree quantization method to preserve most discriminative information. In addition, we map all training samples in the relevance feedback ...

7
June 2004 CVPRW '04: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 2

Detecting human face regions in color video is normally required for further processing in many practical applications. In this paper, we propose a learning-based algorithm that determines the most discriminative pairs of Haar wavelet coefficients of color images for face detection. To select the most discriminative features from the vast ...

8
January 2004 MMM '04: Proceedings of the 10th International Multimedia Modelling Conference
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

In this paper, we propose a novel and fast facedetection algorithm for detecting face in color videosequences. This algorithm can be integrated into a real-timesurveillance or a video retrieval or indexing system.We focus on both speed and accuracy in the design of thealgorithm. A set of multi-resolution Haar waveletcoefficients pairs ...



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