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作者： Liu, Guang-Hai Li, Zuo-Yong Zhang, Lei Xu, Yong College of Computer Science and Information Technology Guangxi Normal University Guilin 541004 China Department of Computer Science Minjiang University Fuzhou 350108 China Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology China

This paper presents a simple yet efficient image retrieval approach by proposing a new image feature detector and descriptor, namely the micro-structure descriptor (MSD). The micro-structures are defined based on an edge orientation similarity, and the MSD is built based on the underlying colors in micro-structures with similar edge orientation. With micro-structures serving as a bridge, the MSD extracts features by simulating human early visual processing and it effectively integrates color, texture, shape and color layout information as a whole for image retrieval. The proposed MSD algorithm has high indexing performance and low dimensionality. Specifically, it has only 72 dimensions for full color images, and hence it is very efficient for image retrieval. The proposed method is extensively tested on Corel datasets with 15,000 natural images. The results demonstrate that it is much more efficient and effective than representative feature descriptors, such as Gabor features and multi-textons histogram, for image retrieval. © 2010 Elsevier Ltd. All rights reserved.

关键词： Image retrieval

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Video2Cartoon: Generating 3D cartoon from broadcast soccer video

Video2Cartoon: Generating 3D cartoon from broadcast soccer v...

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13th ACM International Conference on Multimedia, MM 2005

作者： Liang, Dawei Liu, Yang Huang, Qingming Zhu, Guangyu Jiang, Shuqiang Zhang, Zhebin Gao, Wen School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate School of Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)1595930442

In this demonstration, a prototype system for generating 3D cartoon from broadcast soccer video is proposed. This system takes advantage of computer vision (CV) and computer graphics (CG) techniques to provide users new experience that can not be obtained from original video. Firstly, it uses CV techniques to obtain 3D positions of the players and ball. Then, CG techniques are applied to model the playfield, players, and ball. Finally, 3D cartoon is generated. Our system allows users to watch the game at any point of view using a 3D viewer based on OpenGL. Copyright © 2005 ACM.

关键词： Application programming interfaces (API)

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News-Driven Price Movement Forecasting with Label-Prior Graph Attention 24

News-Driven Price Movement Forecasting with Label-Prior Grap...

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33rd Companion of the ACM World Wide Web Conference, WWW 2023

作者： Liou, Yi-Ting Chen, Chung-Chi Huang, Hen-Hsen Chen, Hsin-Hsi Graduate Program of Data Science National Taiwan University Academia Sinica Taiwan AIST Japan Institute of Information Science Academia Sinica Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan

ISBN: (纸本)9798400701726

This paper introduces a novel approach to stock movement prediction using multi-label classification, leveraging the interconnections between news articles and related company stocks. We present the Label-Prior Graph Attention (LPGA) model, which significantly enhances the performance of news-driven stock price movement forecasting. This model is comprised of a unique graph attention architecture, incorporating a label encoder and a text encoder, designed to effectively capture and utilize the relationships between labels in a graph-based context. Our model demonstrates superior performance over several benchmark models. The LPGA model’s efficacy is further validated through experiments on two multilabel datasets. The model outperforms established baseline models across various evaluation metrics. The success of the LPGA model in both stock movement prediction and general multi-label classification tasks indicates its potential as a versatile tool in the realm of machine learning and financial analysis. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Graphic methods

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Intelligent E-commerce for Special Needs 7

Intelligent E-commerce for Special Needs

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7th International Conference on Cyber and IT Service Management, CITSM 2019

作者： Warnars, Diana Teresia Spits Putra, Leonardo Primadala Logiansa Warnars, Harco Leslie Hendric Spits Utomo, Wiranto Herry School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Department of Magister Science of Information Technology Faculty of Computing President University Bekasi17550 Indonesia

ISBN: (纸本)9781728129099

Special need is a person who need assistance for their disabilities which include medical, physical, mental or psychological such as person with autism, down syndrome, dyslexia, Attention Deficit Hyperactivity Disorder (ADHD), multiple sclerosis, schizophrenia, cystic fibrosis, cerebral palsy, muscular dystrophy, blindness, deafness, epilepsy, chronic asthma and so on. In this proposed research idea about intelligent E-commerce for special needs, we limited to four types of difficulties such as hearing difficulty, vision difficulty, language difficulty, and learning difficulty. In this paper, we interest in those special needs persons who can use e-commerce and how to model a system that can help them to joy and easy to join with e-commerce. For some, this intelligent e-commerce is not only for shopping only but will become part of their healing for special needs in order to engage with daily human activities and increase their daily confidence in life. This paper also a preliminary investigation that can be used for Ph.D. or Doctoral research degree who is interested in building e-commerce framework for people with a special need or disability. © 2019 IEEE.

关键词： Electronic commerce

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Learning styles and cognitive traits - Their relationship and its benefits in web-based educational systems

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computers in Human Behavior 2009年第6期25卷 1280-1289页

作者： Graf, Sabine Liu, Tzu-Chien Kinshuk Chen, Nian-Shing Yang, Stephen J.H. School of Computing and Information Systems Athabasca University Canada Graduate Institute of Learning and Instruction National Central University Jhongli Taiwan Department of Information Management National Sun Yat-sen University Taiwan Department of Computer Science and Information Engineering National Central University Jhongli Taiwan

Different learners have different needs;they differ, for example, in their learning goals, their prior knowledge, their learning styles, and their cognitive abilities. Adaptive web-based educational systems aim to cater individual learners by customizing courses to suit their needs. In this paper, we investigate the benefits of incorporating learning styles and cognitive traits in web-based educational systems. Adaptivity aspects based on cognitive traits and learning styles enrich each other, enabling systems to provide learners with courses which fit their needs more accurately. Furthermore, consideration of learning styles and cognitive traits can contribute to more accurate student modelling. In this paper, the relationship between learning styles, in particular the Felder-Silverman learning style model (FSLSM), and working memory capacity, a cognitive trait, is investigated. For adaptive educational systems that consider either only learning styles or only cognitive traits, the additional information can be used to provide more holistic adaptivity. For systems that already incorporate both learning styles and cognitive traits, the relationship can be used to improve the detection process of both by including the additional information of learning style into the detection process of cognitive traits and vice versa. This leads to a more reliable student model. © 2009 Elsevier Ltd. All rights reserved.

关键词： Websites

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Jdl at TRECVID 2006 shot boundary detection

Jdl at TRECVID 2006 shot boundary detection

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TREC Video Retrieval Evaluation, TRECVID 2006

作者： Liu, Chunxi Liu, Huiying Jiang, Shuqiang Huang, Qingming Zheng, Yijia Zhang, Weigang Graduate University of Chinese Academy of Sciences Beijing 10080 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China School of Computer Science and Technology Harbin Institute of Technology Harbin 150001 China

In this paper we proposed a simple but effective method for simultaneously detecting video shot transitions of various types by means of combining threshold and SVM based method. Our method first selects the suspicious transition candidates using a low threshold method and then judges the candidates by using the SVM base method. In selecting the low threshold, we use only two simply features: histogram and mutual information. Due to this low threshold, we do not need to extract complex features around every frame changes, so our method can run over real time. The most important problem of the system is its fail to distinct gradual transition and motion in some times. This is because we use little information about the camera motion and object motion. In the future we will use more information about the camera motion to alleviate this problem. The test result on TRECVID benchmark shows our approach is effective for shot boundary detection.

关键词： Image segmentation

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Big Data Governance for Building A Smart Cities 10

Big Data Governance for Building A Smart Cities

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10th International Conference on ICT for Smart Society, ICISS 2019

作者： Zulkarnain, Novan Kosala, Raymond Ranti, Benny Supangkat, Suhono Harso Bina Nusantara University Computer Science Department BINUS Graduate Program Doctor of Computer Science Information Systems Department Jakarta11480 Indonesia Universitas Indonesia Computer Science Department Depok16424 Indonesia Institute of Technology Bandung School of Electrical and Informatics Engineering Bandung40132 Indonesia

ISBN: (纸本)9781728148809

There have been many studies conducted related to Smart City, IT Governance and Big Data. In this study aims to find out how the relationship between the three and how to form a framework to explain it. The methodology used is qualitative by looking for some literature on smart city framework, IT Governance framework, and a Big Data framework. From these results, an overall picture of the relationship between the three is concluded, where Big Data has a role in IT Governance. and also the relationship of IT Governance to the realization of Smart City. And the final results of this study produce a framework to explain the relationship between Smart City, IT Governance and Big Data. © 2019 IEEE.

关键词： Big data

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Expanding chiral metamaterials for retrieving fingerprints via vibrational circular dichroism

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Light(science & Applications) 2023年第7期12卷 1401-1414页

作者： Cheng Xu Zhihao Ren Hong Zhou Jingkai Zhou Chong Pei Ho Nan Wang Chengkuo Lee Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Center for Inteligent Sensors and MEMS(CISM) National University of SingaporeSingapore 117608Singapore institute of Microelectronics(IME) Agency for ScienceTechnology and Research(A*STAR)Singapore 138634Singapore NUS Graduate School for Integrative Science and Engineering Program(ISEP) National University of SingaporeSingapore 117456Singapore

Circular dichroism(CD)spectroscopy has been widely demonstrated for detecting chiral ***,the determination of chiral mixtures with various concentrations and enantiomeric ratios can be a challenging *** solve this problem,we report an enhanced vibrational circular dichroism(VCD)sensing platform based on plasmonic chiral metamaterials,which presents a 6-magnitude signal enhancement with a selectivity of chiral *** by coupled-mode theory,we leverage both in-plane and out-of-plane symmetry-breaking structures for chiral metamaterial design enabled by a two-step lithography process,which increases the near-field coupling strengths and varies the ratio between absorption and radiation loss,resulting in improved chiral light-matter interaction and enhanced molecular VCD ***,we demonstrate the thin-film sensing process of BSA andβ-lactoglobulin proteins,which contain secondary structures a-helix andβ-sheet and achieve a limit of detection down to zeptomole ***,we also,for the first time,explore the potential of enhanced VCD spectroscopy by demonstrating a selective sensing process of chiral mixtures,where the mixing ratio can be successfully differentiated with our proposed chiral *** findings improve the sensing signal of molecules and expand the extractable information,paving the way toward label-free,compact,small-volume chiral molecule detection for stereochemical and clinical diagnosisapplications.

关键词： chiral vibrational circular

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Research on SIP and H.323 protocol conversion

Research on SIP and H.323 protocol conversion

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3rd International Conference on Innovative computing Information and Control, ICICIC'08

作者： Si, Haiyang Dong, Liyan Liu, Zhaojun Graduate School Chinese Academy of Sciences Beijing China Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China College of Computer Science and Technology Jilin University Changchun China

ISBN: (纸本)9780769531618

Both of SIP and H.323 are widely used in VoIP. H.323 has wonderful structure. With H.323, it is easy to establish and control a call. SIP is a text based protocol. Although it is simpler than H.323 in structure, its power is as great as H.323. These two protocols offer the same services and functions with different mechanism. So, it is important and significant to achieve their conversion. © 2008 IEEE.

关键词： Internet protocols

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A mixed deterministic model for coreference resolution

A mixed deterministic model for coreference resolution

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2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2012 - Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes

作者： Yuan, Bo Chen, Qingcai Xiang, Yang Wang, Xiaolong Ge, Liping Liu, Zengjian Liao, Meng Si, Xianbo Intelligent Computing Research Center Key Laboratory of Network Oriented Intelligent Computation Computer Science and Technology Department Harbin Institute of Technology Shenzhen Graduate School Guangdong Shenzhen518055 China

ISBN: (纸本)9781937284459

This paper presents a mixed deterministic model for coreference resolution in the CoNLL-2012 shared task. We separate the two main stages of our model, mention detection and coreference resolution, into several sub-tasks which are solved by machine learning method and deterministic rules based on multi-filters, such as lexical, syntactic, semantic, gender and number information. We participate in the closed track for English and Chinese, and also submit an open result for Chinese using tools to generate the required features. Finally, we reach the average F1 scores 58.68, 60.69 and 61.02 on the English closed task, Chinese closed and open tasks. © 2012 Association for Computational Linguistics.

关键词： Semantics

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