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Fusing warping, cropping, and scaling for optimal image thumbnail generation

Fusing warping, cropping, and scaling for optimal image thum...

引用

11th Asian conference on computer vision, ACCV 2012

作者： Qu, Zhan Wang, Jinqiao Xu, Min Lu, Hanqing National Laboratory of Pattern Recognition Institute of Automations Chinese Academy of Sciences Beijing China iNEXT School of Computing and Communications University of Technology Sydney NSW Australia

ISBN: (纸本)9783642374463

Image retargeting, as a content aware technique, is regarded as a logical tool for generating image thumbnails. However, the enormous difference between the size of source and target usually hinders single retargeting method from obtaining satisfactory results. In this paper, an unified framework is proposed to fuse three popular retargeting strategies, i.e. warping, cropping, and scaling, for thumbnail generation. Complementing each other, three retargeting strategies work together efficiently. Firstly, cropping selectively discards the unimportant regions in order to free up more space for displaying important content aesthetically. Next, warping helps to incorporate as much as possible visual information into thumbnails by rearranging important content more compactly through non-uniform deformation. Finally, scaling retrains the important content at an optimal size rather than undergoing an improper shrinkage. In our solution, warping, cropping and scaling are encoded as three energy terms of the objective function respectively, which can be solved efficiently by numerical optimization. Both qualitative and quantitative comparison results demonstrate that the proposed method achieves an excellent trade-off among smoothness, completeness and distinguishableness in thumbnail generation. through these results, our method shows obvious superiority over state-of-the-art techniques. © 2013 Springer-Verlag.

关键词： Optimization

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Implementation of multimedia touch system with colour detection based computer vision algorithm

Implementation of multimedia touch system with colour detect...

引用

2012 7th International conference on Electrical and computer Engineering, ICECE 2012

作者： Rahman, Mohammad Wahidur Saha, Atanu Kumar Arafat, Muhammad Abdullah Nur, Rifat Al Islam, Rakibul Department of Electrical and Electronics Engineering Bangladesh University of Engineering and Technology Dhaka-1000 Bangladesh

ISBN: (纸本)9781467314367

Touch screen technology, as an user friendly interface for electronics device is going through a revolutionary improvement. Higher implementation cost makes this technology unsuitable for big display screen like multimedia display. the proposed technology in this paper provides touch screen facility to big multimedia display which is highly cost effective and easy to implement. An efficient colour detection based computer vision algorithm is used to recognize hand gesture pattern to execute different commands for interacting with multimedia system. © 2012 IEEE.

关键词： Gesture recognition

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Online Content-aware Video Condensation

Online Content-aware Video Condensation

引用

IEEE conference on computer vision and pattern recognition (CVPR)

作者： Feng, Shikun Lei, Zhen Yi, Dong Li, Stan Z. Chinese Acad Sci Ctr Biometr & Secur Res Natl Lab Pattern Recognit Beijing 100864 Peoples R China

ISBN: (纸本)9781467312288

Explosive growth of surveillance video data presents formidable challenges to its browsing, retrieval and storage. Video synopsis, an innovation proposed by Peleg and his colleagues, is aimed for fast browsing by shortening the video into a synopsis while keeping activities in video captured by a camera. However, the current techniques are offline methods requiring that all the video data be ready for the processing, and are expensive in time and space. In this paper, we propose an online and efficient solution, and its supporting algorithms to overcome the problems. the method adopts an online content-aware approach in a stepwise manner, hence applicable to endless video, with less computational cost. Moreover, we propose a novel tracking method, called sticky tracking, to achieve high-quality visualization. the system can achieve a faster-than-real-time speed with a multi-core CPU implementation. the advantages are demonstrated by extensive experiments with a wide variety of videos. the proposed solution and algorithms could be integrated with surveillance cameras, and impact the way that surveillance videos are recorded.

关键词： Digital storage

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Combined articulatory and auditory processing for improved speech recognition

Combined articulatory and auditory processing for improved s...

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2012 7th IEEE conference on Industrial Electronics and Applications, ICIEA 2012

作者： Huang, Guangpu Er, Meng Joo Computer Vision Laboratory Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Singapore

ISBN: (纸本)9781457721175

In this paper, we examined the feasibility of articulatory phonetic inversion (API) conditioned on the auditory qualities for improved speech recognition. And we introduced an efficient data-driven heuristic learning algorithm to capture the articulatory-phonetic features (APFs) of English speech. then we reported the performance of the combined auditory and articulatory processing methods in the inversion and recognition experiments. Firstly, at the front end, the auditory based bark-frequency cepstral coefficient (BFCC) obtained equivalent or higher accuracy compared to the mel-frequency cepstral coefficient (MFCC). Secondly, the use of APFs also significantly altered the phoneme error patterns compared to the purely acoustic features, and they displayed advantages over the canonical pseudo-articulatory features (PAFs) which are manually derived from the phonological rules. the observations support our view that the combinational use of auditory and articulatory cues is beneficial for speech pattern classification. And the proposed neural based API model qualifies as a competitive candidate for profound phoneme recognition with salient features such as generality and portability. © 2012 IEEE.

关键词： Speech recognition

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Design and realization of the compound text-based test questions library management system

Design and realization of the compound text-based test quest...

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4th International conference on Machine vision (ICMV) - computer vision and Image Analysis - pattern recognition and Basic Technologies

作者： Lei, Shi Lin, Feng Xin, Zhao Chinese Armed Police Force Engn Coll Dept Fdn Xian Shaanxi Peoples R China Chinese Armed Police Force Engn Coll Dept Construct Engn Xian Shaanxi Peoples R China Xidian Univ Dept Telecommucat Engn Xian Shaanxi Peoples R China

ISBN: (纸本)9780819490261

the test questions library management system is the essential part of the on-line examination system. the basic demand for which is to deal with compound text including information like images, formulae and create the corresponding Word documents. Having compared with the two current solutions of creating documents, this paper presents a design proposal of Word Automation mechanism based on OLE/COM technology, and discusses the way of Word Automation application in detail and at last provides the operating results of the system which have high reference value in improving the generated efficiency of project documents and report forms.

关键词： COM OLE Compound Text Word Automation

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Web Entity Extraction Based on Entity Attribute Classification

Web Entity Extraction Based on Entity Attribute Classificati...

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4th International conference on Machine vision (ICMV) - computer vision and Image Analysis - pattern recognition and Basic Technologies

作者： Li, Chuan-Xi Chen, Peng Wang, Ru-Jing Su, Ya-Ru Chinese Acad Sci Inst Intelligent Machines Hefei 230031 Peoples R China

ISBN: (纸本)9780819490261

the large amount of entity data are continuously published on web pages. Extracting these entities automatically for further application is very significant. Rule-based entity extraction method yields promising result, however, it is labor-intensive and hard to be scalable. the paper proposes a web entity extraction method based on entity attribute classification, which can avoid manual annotation of samples. First, web pages are segmented into different blocks by algorithm vision-based Page Segmentation (VIPS), and a binary classifier LibSVM is trained to retrieve the candidate blocks which contain the entity contents. Second, the candidate blocks are partitioned into candidate items, and the classifiers using LibSVM are performed for the attributes annotation of the items and then the annotation results are aggregated into an entity. Results show that the proposed method performs well to extract agricultural supply and demand entities from web pages.

关键词： VIPS Information extraction entity extraction text mining

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Contact-less palm vein recognition based on wavelet decomposition and partial least square

Contact-less palm vein recognition based on wavelet decompos...

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7th chinese conference on Biometric recognition, CCBR 2012

作者： Wu, Wei Yuan, Wei-Qi Guo, Jin-Yu Lin, Sen Jing, Lan-Tao Computer Vision Group Shenyang University of Technology Shenyang China Information Engineering Department Shenyang University Shenyang China Information Engineering Department Shenyang University of Chemical Technology Shenyang China

ISBN: (纸本)9783642355059

To solve the problem of low recognition performance caused by contact-less imaging and poor palm vein image quality, a novel recognition method is proposed. Firstly, the ROI based on the thenar (a part of palm) is located;secondly, the palm vein features based on wavelet decomposition and partial least square are extracted;finally, the images are matched by Euclidean distance. In self-build palm vein database, the experimental result shows that the best recognition rate of this method reaches 99.86%. Comparing with the other typical palm vein recognition methods, the performance of proposed approach is the best. In conclusion, the scheme can improve the identification performance of contact-less palm vein recognition significantly. © 2012 Springer-Verlag.

关键词： Wavelet decomposition

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Real-Time Dance pattern recognition Invariant to Anthropometric and Temporal Differences

Real-Time Dance Pattern Recognition Invariant to Anthropomet...

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14th International conference on Advanced Concepts for Intelligent vision Systems (ACIVS)

作者： Oveneke, Meshia Cedric Enescu, Valentin Sahli, Hichem Vrije Univ Brussel Dept Elect & Informat ETRO B-1050 Brussels Belgium

ISBN: (纸本)9783642331404

We present a cascaded real-time system that recognizes dance patterns from 3D motion capture data. In a first step, the body trajectory, relative to the motion capture sensor, is matched. In a second step, an angular representation of the skeleton is proposed to make the system invariant to anthropometric differences relative to the body trajectory. Coping with non-uniform speed variations and amplitude discrepancies between dance patterns is achieved via a sequence similarity measure based on Dynamic Time Warping (DTW). A similarity threshold for recognition is automatically determined. Using only one good motion exemplar (baseline) per dance pattern, the recognition system is able to find a matching candidate pattern in a continuous stream of data, without prior segmentation. Experiments show the proposed algorithm reaches a good tradeoff between simplicity, speed and recognition rate. An average recognition rate of 86.8% is obtained in real-time.

关键词： dance motion recognition real-time similarity measure threshold determination DTW

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DriastSystem: A computer vision Based Device for Real Time Traffic Sign Detection and recognition

DriastSystem: A Computer Vision Based Device for Real Time T...

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11th International conference on Artificial Intelligence and Soft Computing (ICAISC)

作者： Tekieli, Marcin Slonski, Marek Cracow Univ Technol Fac Civil Engn Inst Computat Civil Engn Krakow Poland

ISBN: (纸本)9783642293467

this paper presents the design and application of novel device for real time traffic sign detection and recognition on a hardware platform powered by Intel (R) Atom (TM) processor. Image frames from standard and relatively cheap web cameras are processed using OpenCV library [7][2]. An innovative method is proposed for traffic sign detection phase. Two color models are used for image segmentation and detection of traffic sign. Many well-known and described tactics have been tested and rated. Implemented in OpenCV Library functions for pattern recognition method are also used in main algorithm. Experimental results of traffic sign detection and recognition are described. the prototype was implemented as part of the Master thesis at Cracow University of Technology [1].

关键词： computer vision traffic sign detection and recognition OpenCV library color model pattern recognition fuzzy logic

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Face recognition under variable illumination by weighted-subband edge enhancement

Face recognition under variable illumination by weighted-sub...

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2012 5th chinese conference on pattern recognition, CCPR 2012

作者： Lai, Zhao-Rong Dai, Dao-Qing Ren, Chuan-Xian Center for Computer Vision Department of Mathematics Sun Yat-Sen University Xin Gang Xi Road No.135 Guangzhou China

ISBN: (纸本)9783642335051

this article presents a novel weighted-subband method based on wavelet decomposition for face recognition under variable illumination. Different levels of subbands contain different features of the edge of a human face image. through assigning a weight to each subband, we can strengthen the features beneficial to recognition, and weaken the features detrimental to recognition. To make the edge of human face stand out, a new histogram equalization and border smoothing method is implemented before weighted-subband edge enhancement. Experiments on the Extended YaleB Database show promising performance. © 2012 Springer-Verlag.

关键词： Face recognition

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