...News Video Indexing and Retrieval System Using Feature-Based Indexing and Inserted-Caption Detection Retrieval 1 News Video Indexing and Retrieval System Using Feature-Based Indexing and InsertedCaption Detection Retrieval Akshay Kumar Singh, Soham Banerjee, Sonu Kumar and Asst. Prof. Mr. S. Ghatak Computer Science and Engineering, Sikkim Manipal Institute of Technology, Majitar, India. Abstract—Data compression coupled with the availability of high bandwidth networks and storage capacity have created the overwhelming production of multimedia content, this paper briefly describes techniques for content-based analysis, retrieval and filtering of News Videos and focuses on basic methods for extracting features and information that will enable indexing and search of any news video based on its content and semantics. The major themes covered by the study include shot segmentation, key frame extraction, feature extraction, clustering, indexing and video retrieval-by similarity, probabilistic, transformational, refinement and relevance feedback. A new caption text extraction algorithm that takes full advantage of the temporal information in a video sequence is developed. Keywords—Shot Boundaries Detection, Inserted Caption Detection, Machine Learning, Face Annotation, Edge/Field Detection. I. INTRODUCTION E ffective techniques for video indexing/searching are required for large visual information systems (such as video databases and video servers). In addition...
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...by 2359 pm Wed, last 2 entries by 0800 following Mon. | WED 2359 pmWeek 1 | | Week 1 Application Assignment – Getting Started & Specific ExpectationsWeek 1 Progress Monitor | MON 0800Week 2 | Journal | Week 1 Journal Entry | MON 0800Week 2 | Week 2 | Discussion Board -First entry by 2359 pm Wed, last 2 entries by 0800 following Mon. | WED 2359 pmWeek 2 | | Week 2 Application Assignment – Personal Philosophy of NursingWeek 2 Progress Monitor | MON 0800Week 3 | Journal | Week 2 Journal Entry | MON 0800Week 3 | Week 3 | Discussion Board -First entry by 2359 pm Wed, last 2 entries by 0800 following Mon. | WED 2359 pmWeek 3 | | Week 3 Application Assignment – Information Retrieval Paper, Part 1Week 3 Progress Monitor | MON 0800Week 4 | Journal | Week 3 Journal Entry | MON 0800Week 4 | Week 4 | Discussion Board -First entry by 2359 pm Wed, last 2 entries by 0800 following Mon. | WED 2359 pmWeek 4 | | Week 4 Application Assignment – Team Dynamics & Information Retrieval Paper, Part 2Week 4 Progress Monitor | MON 0800Week 5 | Journal | Week 4 Journal Entry | MON 0800Week 5 | *Week 5Assignments due Saturday 0800Journal | Discussion Board -First entry by 2359 pm Wed, last 2 entries by 0800 following Mon. | WED 2359 pm | | Week 5 Reflection – Nursing Philosophy & ContributionsWeek 5 Progress Monitor | SAT 0800Week 5 | | Post-Course Self-Evaluation | SAT 0800Week 5 | | Week 5 Journal Entry | SAT 0800 Week 5 | ***There...
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...Score Aggregation Techniques in Retrieval Experimentation Sri Devi Ravana Alistair Moffat Department of Computer Science and Software Engineering The University of Melbourne Victoria 3010, Australia {sravana, alistair}@csse.unimelb.edu.au Abstract Comparative evaluations of information retrieval systems are based on a number of key premises, including that representative topic sets can be created, that suitable relevance judgements can be generated, and that systems can be sensibly compared based on their aggregate performance over the selected topic set. This paper considers the role of the third of these assumptions – that the performance of a system on a set of topics can be represented by a single overall performance score such as the average, or some other central statistic. In particular, we experiment with score aggregation techniques including the arithmetic mean, the geometric mean, the harmonic mean, and the median. Using past TREC runs we show that an adjusted geometric mean provides more consistent system rankings than the arithmetic mean when a significant fraction of the individual topic scores are close to zero, and that score standardization (Webber et al., SIGIR 2008) achieves the same outcome in a more consistent manner. Keywords: Retrieval system evaluation, average precision, geometric mean, MAP, GMAP. 1 Introduction (or not) that was obtained relative to other previous techniques. A variety of mechanisms have evolved over the years to perform these...
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...sĞƌŝĨŝĐĂƚŝŽŶ tŽƌŬƐŚĞĞƚ Your 201ϰ–201ϱ Free Application for Federal Student Aid (FAFSA) was selected for review in a process called verification. &ĞĚĞƌĂů ƉŽůŝĐLJ says that before awarding Federal Student Aid, we may ask you to confirm the information you reported on your FAFSA. To verify that you provided correct information, ^ƚƌĂLJĞƌΖƐ ^ƚƵĚĞŶƚ &ŝŶĂŶĐŝĂů ^ĞƌǀŝĐĞƐ ;^&^Ϳ ƚĞĂŵ will compare your FAFSA with the information on this worksheet and with any other required documents. If there are differences, your FAFSA information may need to be corrected. You must complete and sign this worksheet, attach any required documents, and submit the form and other required documents to your ĐĂŵƉƵƐ ƵƐŝŶĞƐƐ KĨĨŝĐĞ͘ zŽƵƌ ĐĂŵƉƵƐ may ask for additional information. If you have questions about verification, contact your ĐĂŵƉƵƐ ƵƐŝŶĞƐƐ KĨĨŝĐĞ as soon ĂƐ ƉŽƐƐŝďůĞ ƐŽ that your financial aid will not be delayed. A. Independent Student’s Information Student’s Last Name Student’s First Name Student’s M.I. Student’s Street Address (include apt. no.) City Student’s SŽĐŝĂů ^ĞĐƵƌŝƚLJ EƵŵďĞƌ Student’s Date of Birth State Zip Code Student’s Home Phone Number (include area code) Student’s Email Address Student’s Alternate or Cell Phone Number B. Independent Student’s Family Information List below the people in ƚŚĞ household. Include: x x x x dŚĞ ƐƚƵĚĞŶƚ. dŚĞ ƐƚƵĚĞŶƚΖƐ spouse, if ƚŚĞ ƐƚƵĚĞŶƚ ŝƐ married. dŚĞ ƐƚƵĚĞŶƚΖƐ Žƌ ƐƉŽƵƐĞΖƐ children, if ƚŚĞ ƐƚƵĚĞŶƚ Žƌ ƐƉŽƵƐĞ ǁill provide more than half of their support from...
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...18.5/20 Database Memorandum Paper J. S CIS/319 –Computer and Information Processing 07/23/2012 Prepare a 2- to 3-page memorandum analyzing the use of databases in a business environment. Include what database applications should be used: Microsoft® Access®, IBM® DB2®, Oracle®, and so on. Conclude by proposing improvements. For large organizations, restrict the scope of the paper to the department in which you work. The use of database in the business environment has become an integral part in business processing. According to an article, Database Evolution: Microsoft Access within an Organization's Database Strategy, Chung explains that databases are used in a variety of levels for various reasons: Enterprise level, Department level, Workgroup/Team Level and Individual/small groups. With these, database systems are used as data centers in order for companies to process data, whether customer transactions, storing information (business) or to maintain security. The most popular database used today is Microsoft Office Access, or which most know it as Microsoft Access. This was developed my Microsoft Corporation and can also be used as a “frontend” with other products as the “backend” table. Which means that all the data processing can be done by Microsoft SQL Server, a Microsoft product and other database applications, for example Oracle. Microsoft Access is the main database application used by our company (Affiliated Computer Service). Due to the nature of our business...
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...Recognizing Faces Paper Psych. 560 July 10, 2013 Prof. Pitt Recognizing Faces Paper Face recognition develops slowly throughout one’s life. Recognizing a face can be a difficult for the individual and also for the brain system that processes it. The complexity of recognizing individual faces can be a difficult task at times. Recognizing faces also includes looking at an individual’s emotional expression and then being able to take that information and processing it. This paper will analyze the cognitive processes involved with face recognition Face recognition, identification, and classification Facial identification is essential for recognition of persons in the social context and for recognition of members within our society. The basic process of visual perception includes translating and incoming stimulus into a perception and memory. An individual will initially see an object or a person and this information then gets processed through the brain. Bottom up and top down processing plays a critical role in object recognition. When we first look at an object we process it, this is called bottom up processing and then we apply previous knowledge to that object which is known as top down processes. There is also a process when we recognize an object; we match an incoming object with stored information that helps us to recognize...
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...Academy of Management Review 2007, Vol. 32, No. 4, 1041–1059. GROUP LEARNING JEANNE M. WILSON The College of William & Mary PAUL S. GOODMAN Carnegie Mellon University MATTHEW A. CRONIN George Mason University We clarify the construct of group learning, encouraging new directions for research. Definitions of group learning vary considerably across studies, making it difficult to systematically accumulate evidence. To reconcile disparate approaches, we first present a set of features for distinguishing group learning from other concepts. We then develop a framework for understanding group learning that focuses on learning’s basic processes at the group level of analysis: sharing, storage, and retrieval. By doing so, we define the construct space, identify gaps in current treatments of group learning, and illuminate new possibilities for measurement. • In an eight-person product development team, one member from Engineering learns a new method for three-dimensional graphing and starts using it in her rough product designs. As a result, the team’s development costs decrease. • Based on its experience with the Love Me cybervirus, a national internet security team agrees that, in the future, the team should wait to send out alerts until it has a tested fix to recommend. Seven weeks later, when the Me Too bug strikes, the team delays sending out an alert for an extra four hours while it develops a patch. This response is roundly criticized in the internet security community. ...
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...1) Different of DBMS and IR (30%) DATABASE MANAGEMENT SYSTEM (DBMS) | INFORMATION RETRIEVAL(IR) | A database management system (DBMS) is a collection of programs that enables you to store, modify, and extract information from a database. There are many different types of DBMSs, ranging from small systems that run on personal computers to huge systems that run on mainframes.Also known as a database program which the software that allows you to create, manage and access database. Available for many sizes and types of computersSoftware package with computer programs that control the creation, maintenance, and use of a database. It allows organizations to conveniently develop databases for various applications by database administrators (DBAs) and other specialists. Data independence which application programs should be as independent as possible from details of data representation and storage. The DBMS can provide an abstract view of the data to insulate application code from such details. Utilizes a variety of sophisticated techniques to store and retrieve data efficiently. This feature is especially important if the data is stored on external storage devices. Data always accessed through the DBMS, the DBMS can enforce integrity constraints on the data. For example, before inserting salary information for an employee, the DBMS can check that the department budget is not exceeded. Also, the DBMS can enforce access controls that govern what data is visible to different classes...
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...(IJES) ||Volume||2 ||Issue|| 8 ||Pages|| 37-43||2013|| ISSN(e): 2319 – 1813 ISSN(p): 2319 – 1805 The Impact Of Information And Communication Technology (Ict) Compliant Librarians On Library Services Delivery In Academic Library: The Case Of National Open University Of Nigeria(Noun)Library By Nebeolise, Lucy Ndidiamaka National Open University of Nigeria,Victoria Island , Lagos -----------------------------------------------------ABSTRACT----------------------------------------------------- The study aimed at examining the impact of information and communication Technology (ICT) compliant librarians on library services delivery on NOUN library. The paper traces briefly the history of National Open University Library. The e-resources, staff strengths are highlighted. The study adopted the descriptive survey method. The questionnaire was used as instrument for data collection. A total of fifty (50) questionnaires were distributed and collected back. The data collected were analyzed with the use of tables and simple percentages. From the analysis of the data collected, it was found that the use of ICT compliant librarians on library service delivery aids immensely in the development of NOUN library, quick delivery of information services, access and easy retrieval of information by users. The study shows thatInadequate ICT skilled professional Librarians, Inadequate provision of ICT training...
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...Text mining is the process of extracting interesting and non-trivial knowledge or information from unstructured text data. Text mining is the multidisciplinary field which draws on data mining, machine learning, information retrieval, computational linguistics and statistics. This research paper discussed about one of the text mining preprocessing techniques. The initial process of text mining systems is preprocessing steps. Pre-processing reduces the size of the input text documents significantly. It involves the actions like sentence boundary determination, natural language specific stop-word elimination, tokenization and stemming. This research paper established the comparative analysis of document tokenization tools. I. Introduction Tokenization...
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...General guide to referencing 2014 edition From the Deputy Vice-Chancellor (Learning and Quality) Many students find learning the unfamiliar nature of academic writing a challenging experience. The puzzling art of referencing is no exception, with its traditions and initially obscure formatting rules, referencing can seem to be an overwhelming and annoying requirement standing between you and submitting your assignment by the due date. This guide has been written especially for you, new and returning Federation University Australia (FedUni) students, to demystify referencing and provide numerous practical examples of when and how referencing should be used in your writing at FedUni. As you study, you’ll come to understand that referencing is just a set of rules that you need to follow to adequately acknowledge the work and thinking of others in your assignments. These rules are important because they allow your teachers to decide whether you’ve demonstrated that you understand the topic at hand and show that you have completed the assignment yourself. If you ignore the requirements to reference source materials in your assignment, your teacher may decide you have committed ‘plagiarism’. This means you have failed to reference according to the rules and in doing so, not demonstrated that you have used the work of others in your work. Plagiarism is a very serious matter that can result in unpleasant consequences for your studies and career. So please take the time to understand...
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...evaluation going beyond traditional methods, and new perspectives on Web searching. Findings – The approaches to studying Web search engines are manifold. Given the importance of Web search engines for knowledge acquisition, research from different perspectives needs to be integrated into a more cohesive perspective. Research limitations/implications – The chapter suggests a basis for research in the field and also introduces further research directions. Originality/value of paper...
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... © No part of this document can be reproduced, stored in a retrieval system, or transmitted in any form or by any means - electronic, mechanical, photocopying, recording, or otherwise - without the permission of the Rwanda Ministry in charge of ICT in the Office of the President. List of Acronyms AGAGE AISI AMIS ARTEL BNR BPO CD CERT COMESA CNS-ATM CS CSIRT CTC FWG DCRS EAPP EASSy EDPRS e-GOV EMIS EMR EQMS ERMS FMS FY GDP GIS GNI GNP GoR G2B G2C G2G HIV HLSC HRMS ICT ICT4D IDS IPAR IPS ISP ISPA ITU IXP JICA Advanced Global Atmospheric Gases Experiment African Information Society Initiative Agriculture management Information System Africa Rural Telecommunication Banque National du Rwanda Business Processing Outsourcing Community Development Computer Emergency Response Team Common Market for Eastern and Southern Africa Communication Navigation Surveillance /Air Management Cyber Security Computer Security Incident Response Team Coordination Technical Committee Focus area Working Group Develop a Digital Court Recording System East African Power Pool Eastern Africa Submarine Cable System Economic Development & Poverty Reduction Strategy (2008-2012) e-Government Education Management Information System Electronic Medical Records Electronic Queue Management System Electronic Records Management System Financial Management Systems Fiscal Year Gross Domestic Product Geographical Information System ...
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...when you use someone else’s exact words without giving them credit, taking credit for someone else’s ideas, or even presenting your own past work as a new idea. Academic institutions take both intentional and unintentional plagiarism seriously, and it can be grounds for dismissal. According to the APA manual (6th ed.), the best method of avoiding plagiarism is to cite the ideas, theories, and research that directly influenced your work, cite key background information, information that may support or dispute your theory or hypothesis, or offer critical definitions or data (p. 169). Document all facts and figures that are not common knowledge. For journal articles and class assignments, APA recommends using one or two of the most representative sources for each key point, but for the literature review for a dissertation, you should include a more exhaustive list of citations. See APA (6th ed.), pp. 15-16 for more information. In-Text Citations Citations used in the body of your publication identify the source of information. In-text parenthetical citations are used to give credit to the authors whose ideas or thoughts are used within the document. These internal citations allow the reader to identify the source and locate the...
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...Why Do We Gesture When We Speak? Robert M. Krauss Columbia University This is a pre-editing version of a paper published as: Krauss, R.M. (1998). Why do we gesture when we speak? Current Directions in Psychological Science 7, 5459. CD.3 July 30, 2001 Why Do We Gesture When We Speak? Robert M. Krauss1 Columbia University Students of human nature traditionally have considered conversational gestures—unplanned, articulate hand movements that accompany spontaneous speech— to be a medium for conveying semantic information, the visual counterpart of words.2 Over a century ago, Sir Francis Bacon put the relationship of gesture and language in the form of a simple analogy: "As the tongue speaketh to the ear, so the gesture speaketh to the eye" (Bacon, 1891). Although the extent to which gestures serve a communicative function is presently a matter of some controversy,3 there is accumulating evidence that communication is not the only function such gestures serve. Over the past several years my colleagues and I have explored the hypothesis, casually suggested by a remarkably diverse group of writers over the past 60 years, that gestures help speakers formulate coherent speech by aiding in the retrieval of elusive words from lexical memory. How might gesturing affect lexical retrieval? Human memory employs several different formats to represent knowledge, and much of the content of 1Address correspondence to Robert M. Krauss, Department of Psychology, Columbia University...
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