TITLE

Using web sources for improving video categorization

AUTHOR(S)
Perea-Ortega, José; Montejo-Ráez, Arturo; Martín-Valdivia, M.; Ureña-López, L.
PUB. DATE
February 2011
SOURCE
Journal of Intelligent Information Systems;Feb2011, Vol. 36 Issue 1, p117
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
In this paper, several experiments about video categorization using a supervised learning approach are presented. To this end, the VideoCLEF 2008 evaluation forum has been chosen as experimental framework. After an analysis of the VideoCLEF corpus, it was found that video transcriptions are not the best source of information in order to identify the thematic of video streams. Therefore, two web-based corpora have been generated in the aim of adding more informational sources by integrating documents from Wikipedia articles and Google searches. A number of supervised categorization experiments using the test data of VideoCLEF have been accomplished. Several machine learning algorithms have been proved to validate the effect of the corpus on the final results: Naïve Bayes, K-nearest-neighbors (KNN), Support Vectors Machine (SVM) and the j48 decision tree. The results obtained show that web can be a useful source of information for generating classification models for video data.
ACCESSION #
57053727

 

Related Articles

  • TrendWatch on corporate video.  // Video Systems;Sep2004, Vol. 30 Issue 9, p14 

    Reports on the increase in competition among corporate film and video studios used by businesses and corporations for internal presentations, trade shows and training in the United States. Use of film, video, compact disc/digital video disc and the Web; Impact of competition on small and...

  • Interactive and mixed-initiative decision-theoretic systems. Haddawy, Peter; Hanks, Steve // AI Magazine;Fall99, Vol. 20 Issue 3, p84 

    Discusses the application of decision-theoretic techniques in commonplace situations, a proposal that is being advanced by researchers in artificial intelligence. Decision-theory as an attractive framework for building interactive systems for decision making or decision support; Advantages of...

  • Artificial Intelligence, Expert Systems and Business. Coats, Pamela K. // American Business Review;Jun87, Vol. 5 Issue 2, p1 

    The purpose of this paper is to describe artificial intelligence--how it works, its successes, its shortfalls and its commercial future. It is not outrageous to think that one day it may be commonplace to use AI to advance the discovery of business principles, diagnose business situations and...

  • Semantic Web: A Road to the Knowledge Infrastructure on the Internet. Takeda, Hideaki // New Generation Computing;2004, Vol. 22 Issue 4, p395 

    In this article, I describe the basic technologies for Semantic Web and relationship between Semantic Web and Knowledge Representation in Artificial Intelligence. Semantic Web is planned as an extension of the current web in order to help cooperation between computers and humans, i.e., computers...

  • The 2003 International Conference on Automated Planning and Scheduling (ICAPS-03). Giunchiglia, Enrico; Muscettola, Nicola; Nau, Dana // AI Magazine;Summer2004, Vol. 25 Issue 2, p129 

    The International Conference on Automated Planning and Scheduling (ICAPS) is the premier international forum for researchers and practitioners in automated planning and scheduling. The 2003 ICAPS technical program took place from June 11-13, 2003. It featured 30 paper presentations, which were...

  • Web 2.0--fluff or phenomenon.  // ITNOW;Jan2006, Vol. 48 Issue 1, p22 

    Offers an insight into the development of the Web 2.0 concept. Characteristics of mash-ups; Association of Web 2.0 with the semantic Web; Significance of the Web to the social interaction of its users.

  • A Personalized Ontology Model for Knowledge Representation & Reasoning User Profiles. Avanthi, Kanneganti; Kumar Somayajula, Satya P. // International Journal of Computer Science Engineering & Technolo;Nov2012, Vol. 2 Issue 11, p1493 

    As a model for knowledge description and formalization, ontologies are widely used to represent user profiles in personalized web information gathering. However, when representing user profiles, many models have utilized only knowledge from either a global knowledge base or user local...

  • Extraction of Uyghur Evaluation Object. Shengwei Tian; Long Yu; Jun Huang; Guanjun Feng // International Journal of Digital Content Technology & its Applic;Feb2012, Vol. 6 Issue 2, p61 

    Extraction of evaluation object has become a hot issue in the field of natural language processing. We combine semi-supervised and unsupervised Bootstrapping to extract Uyghur evaluation object in Web documents. In the pattern selection, we extract the information of words and their POS from 3...

  • Rule based Detection of SQL Injection Attack. Das, Debasish; Sharma, Utpal; Bhattacharyya, D. K. // International Journal of Computer Applications;Apr2012, Vol. 43, p15 

    This paper presents an effective detection method RDUD for SQL injection attack. RDUD is an enhanced version of DUD [1]. The method comprises a supervised machine learning approach using a Support Vector Machine(SVM) to learn and to classify a query at runtime. Two web profiles - (i) legitimate...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics