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Fast and effectively identify pornographic images

Fast and effectively identify pornographic images

引用

2011 7th International Conference on Computational Intelligence and Security, CIS 2011

作者： Fu, Yanjun Wang, Weiqiang School of Information Science and Engineering Graduate University of Chinese Academy of Sciences Beijing China Key Lab. of Intell. Info. Process. Institute of Computing Technology CAS Beijing China

ISBN: (纸本)9780769545844

In this paper, we present a practical solution to identifying pornographic images based on multiple low-level image features and support vector machine (SVM). First, the region of interest (ROI) is obtained from an original image based on the detection of skin-like pixels in YCbCr color space. The ROI is then classified into being acceptable or unacceptable by its size. Images without ROIs or acceptable ROIs are deemed to be benign images. For images with acceptable ROI, the color, texture and shape features are further extracted on ROI, and then fed to a SVM classifier to perform the task of recognition. Our approach has obtained 96.05% sensitivity and 96.17% specificity on a dataset containing 8,000 pornographic images and 12,500 benign images, as well as the processing speed of about 0.026 seconds for a PC to determine whether a given image with an average size of 420 by 433 pixels is pornographic. © 2011 IEEE.

关键词： Support vector machines

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A new regression method based on SVM classification

A new regression method based on SVM classification

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Dong, Yi Cheng, Wei Li, Shengfeng Institute of Applied Mathematics Bengbu College Bengbu China School of Management Hefei Univ. of Technology Hefei China Key Lab. of Intelligent Computing and Signal Processing Anhui University Hefei China Anhui Vocational College of Electronics and Information Technology Bengbu China

ISBN: (纸本)9781612841816

SVM (Support Vector Machines) is a novel algorithm of machine learning which is based on SLT (Statistical Learning Theory). It can solve the problem characterized by nonlinear, high dimension, small sample and local minimizing perfectly. For non-linear problem, the forecasting technique of FCTR (First classification, then regression) was proposed, based on the classification approach of SVM and has carried on the simulation experiment. The experiment shows that the fitting value which obtains using the return to first would be more precise than directly. Using this method to food production forecast, its accuracy is superior to other production forecasting methods. © 2011 IEEE.

关键词： Support vector machines

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Dependency forest for statistical machine translation

Dependency forest for statistical machine translation

引用

23rd International Conference on Computational Linguistics, Coling 2010

作者： Tu, Zhaopeng Liu, Yang Hwang, Young-Sook Liu, Qun Lin, Shouxun Key Lab. of Intelligent Info. Processing Institute of Computing Technology Chinese Academy of Sciences China HILab Convergence Technology Center C and I Business SKTelecom China

We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms for extracting string-to dependency rules and training dependency language models. Our forest-based string-to-dependency system obtains significant improvements ranging from 1.36 to 1.46 BLEU points over the tree-based baseline on the NIST 2004/2005/2006 Chinese-English test sets.

关键词： Computer aided language translation

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Joint tokenization and translation

Joint tokenization and translation

引用

23rd International Conference on Computational Linguistics, Coling 2010

作者： Xiao, Xinyan Liu, Yang Hwang, Young-Sook Liu, Qun Lin, Shouxun Key Lab. of Intelligent Info. Processing Institute of Computing Technology Chinese Academy of Sciences China HILab Convergence Technology Center C and I Business SKTelecom China

As tokenization is usually ambiguous for many natural languages such as Chinese and Korean, tokenization errors might potentially introduce translation mistakes for translation systems that rely on 1-best tokenizations. While using lattices to offer more alternatives to translation systems have elegantly alleviated this problem, we take a further step to tokenize and translate jointly. Taking a sequence of atomic units that can be combined to form words in different ways as input, our joint decoder produces a tokenization on the source side and a translation on the target side simultaneously. By integrating tokenization and translation features in a discriminative framework, our joint decoder outperforms the baseline translation systems using 1-best tokenizations and lattices significantly on both Chinese- English and Korean-Chinese tasks. Interestingly, as a tokenizer, our joint decoder achieves significant improvements over monolingual Chinese tokenizers.

关键词： Decoding

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An epipolar resticted inter-mode selection for stereoscopic video encoding

An epipolar resticted inter-mode selection for stereoscopic ...

引用

28th Picture Coding Symposium, PCS 2010

作者： Yang, Guolei Liang, Luhong Gao, Wen Peking University China Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China

ISBN: (纸本)9781424471348

Fast stereoscopic video encoding becomes a highly desired technique because the stereoscopic video has been realizable for applications like TV broadcasting and consumer electronics. The stereoscopic video has high inter-view dependency subject to epipolar restriction, which can be used to reduce the encoding complexity. In this paper, we propose a fast inter-prediction mode selection algorithm for stereoscopic video encoding. Different from methods using disparity estimation, candidate modes are generated by sliding a window along the macro-block line restricted by the epipolar. Then the motion info.mation is utilized to rectify the candidate modes. A selection failure handling algorithm is also proposed to preserve coding quality. The proposed algorithm is evaluated using independent H.264/AVC encoders for left and right views and can be extended to MVC. Experimental results show that encoding times of one view are reduced by 41.4% and 24.4% for HD and VGA videos respectively with little quality loss. © 2010 IEEE.

关键词： Encoding (symbols)

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Distinguishing patients with gastritis and cholecystitis from the healthy by analyzing wrist radial arterial doppler blood flow signals

Distinguishing patients with gastritis and cholecystitis fro...

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International Conference on Pattern Recognition

作者： Jiang, Xiaorui Zhang, Dongyu Wang, Kuanquan Zuo, Wangmeng Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Department of Computer Science and Technology Harbin Institute of Technology

ISBN: (纸本)9780769541099

This paper tries to fill the gap between Traditional Chinese Pulse Diagnosis (TCPD) and Doppler diagnosis by applying digital signal analysis and pattern classification techniques to wrist radial arterial Doppler blood flow signals. Doppler blood flows signals (DBFS) of patients with cholecystitis, gastritis and healthy people are classified by L2-soft margin SVM and 5 linear classifiers using the proposed feature - piecewise axially integrated bispectra (PAIB). A 5-fold cross validation is used for performance evaluation. The classification accuracies between either two groups of subjects are greater than 93%. Gastritis can be recognized with higher accuracy than cholecystitis. Cholecystitis can be recognized with higher accuracy on left hand data than right. The findings in this paper partly conform to the theory of TCPD. Though the sample size is relatively small, we could still argue that the methods proposed here are effective and could serve as an assistive tool for TCPD. © 2010 IEEE.

关键词： Blood

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Conditional random fields for machine translation system combination

Conditional random fields for machine translation system com...

引用

International Conference on Asian Language processing

作者： Xia, Tian Zhe, Shandian Liu, Qun Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences P.O. Box 2704 Beijing 100190 China

ISBN: (纸本)9780769542881

Minimum Error Rate Training (MERT) as an effective parameters learning algorithm is widely applied in machine translation and system combination area. However, there exists an ambiguity problem in respect to the training goal and it is hard for MERT to tackle, that is different parameters may lead to the same minimum error rate in training but greatly different performances in testing. We propose a novel training objective as the unique goal for training towards, namely partial references, and by use of conditional random fields (CRF) to cast the decoding procedure in system combination as a sequence lab.ling problem. Experiments on Chinese-English translation test sets show that our approach significantly outperforms the MERT-based baselines with less training time. © 2010 IEEE.

关键词： Errors

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Attention based album slideshow

Attention based album slideshow

引用

Pacific Rim Symposium on Image and Video technology

作者： Liu, Huiying Huang, Qingming Jiang, Shuqiang Key Lab. of Intell. Info. Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China China-Singapore Institute of Digital Media Singapore 119615 Singapore

ISBN: (纸本)9780769542850

Slideshow is a popular way to display a digital album automatically. However, it is time consuming and boring when the album is large. Actually, while browsing an album manually, an audience may spend different length of time on different photos. Considering this, in this paper, we propose an approach to estimate the attention amount attracted by each photo and further predict its duration. Three types of attention related factors are considered. 1) The subjective factor, described through photo content. 2) The objective factor, which means the photographic quality of a photo. 3) The album context, represented through a photo's novelty in the album. Then Support Vector Regression is employed to estimate the duration. The proposed slideshow method displays the photos according to the estimated duration. Both objective and subjective evaluations show the effectiveness of the proposed method. © 2010 IEEE.

关键词： Image classification

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Using global statistics to rank retrieval systems without relevance judgments

引用

作者： Shi, Zhiwei Wang, Bin Li, Peng Shi, Zhongzhi Information Retrieval Group Center for Advanced Computing Research Institute of Computing Technology Beijing 100190 China Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS Beijing 100190 China

ISBN: (纸本)3642163262

How to reduce the amount of relevance judgments is an important issue in retrieval evaluation. In this paper, we propose a novel method using global statistics to rank retrieval systems without relevance judgments. In our method, a series of global statistics of a system, which indicate the percentage of its documents found by k out of all the N systems (k = 1, 2, ..., N), are selected, then a linear combination of the series of global statistics is utilized to fit the mean average precision (MAP) of the retrieval system. Optimal coefficients are obtained by linear regression. No human relevance judgments are required in the entire process. Compared with existing evaluation methods without relevance judgments, our method has two advantages. Firstly, it outperforms all early attempts. Secondly, it is adjustable for different effectiveness measurements, e.g. MAP, precision at n, and so forth. © 2010 IFIP.

关键词： info.mation retrieval

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Violence detection in movies with auditory and visual cues

Violence detection in movies with auditory and visual cues

引用

International Conference on Computational Intelligence and Security

作者： Lin, Jian Sun, Yi Wang, Weiqiang School of Information Science and Engineering Graduate University Chinese Academy of Sciences Beijing China Key Lab. of Intell. Info. Process. Institute of Computing Technology CAS Beijing China

ISBN: (纸本)9780769542973

In this paper, we present a novel method to detect violent scenes in movies. The detection process involves two views - audio and video views. For the audio view, a supervised method based on HCRFs is exploited to improve the classification performance. For the video view, we detect violent shots by locating the violent areas. Finally, the auditory and visual classifiers are combined in a co-training way. The experimental results on several movies with violent contents preliminarily show the effectiveness of our method. © 2010 IEEE.

关键词： Pattern recognition

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