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 Anupama Mallik

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Average citations per article1.54
Citation Count20
Publication count13
Publication years2007-2015
Available for download8
Average downloads per article333.00
Downloads (cumulative)2,664
Downloads (12 Months)254
Downloads (6 Weeks)17
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13 results found Export Results: bibtexendnoteacmrefcsv

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1
December 2015 WF-IOT '15: Proceedings of the 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Ubiquitous intelligent devices have enabled provision of smart services to people in seamless way. Context-awareness helps understand current state-of-affairs or the situation in which presently the system is. This understanding helps the IoT application provide more relevant and smarter services based on situations that change over a period of time. ...

2
June 2015
Bibliometrics:
Citation Count: 0

The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology ...

3
August 2014 WI-IAT '14: Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 01
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 4,   Downloads (Overall): 45

Full text available: PDFPDF
With increasing amount of information (video, text) being available today, it has become non-trivial to develop techniques to categorize documents into contextually meaningful classes. The information as available in the documents is composed of sequence of events termed as patterns. It is evident to know the important trends as observed ...
Keywords: E-MOWL, LDA, Bayesian Network (BN), NLP, Geo-ontology

4 published by ACM
December 2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM): Volume 10 Issue 1, December 2013
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 7,   Downloads (12 Months): 67,   Downloads (Overall): 409

Full text available: PDFPDF
Several multimedia applications need to reason with concepts and their media properties in specific domain contexts. Media properties of concepts exhibit some unique characteristics that cannot be dealt with conceptual modeling schemes followed in the existing ontology representation and reasoning schemes. We have proposed a new perceptual modeling technique for ...
Keywords: concept recognition, Multimedia web ontology language, Bayesian networks, digital heritage, multimedia ontology, recommendation engine

5
November 2013 WI-IAT '13: Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 03
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 35,   Downloads (Overall): 77

Full text available: PDFPDF
We present a novel method for content-based recommendation of media-rich commodities using probabilistic multimedia ontology. The ontology encodes subjective knowledge of experts that enables interpretation of media based and semantic product features in context of domain concepts. Our recommendation is based on semantic compatibility between the products and user profile ...
Keywords: multimedia, ontology, fashion, recommendation, reasoning

6
September 2013 Proceedings of the ICIAP 2013 International Workshops on New Trends in Image Analysis and Processing — ICIAP 2013 - Volume 8158
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

Heritage preservation requires preserving the tangibles (monuments, sculpture, coinage, etc) and the intangibles (history, traditions, stories, dance, etc). Besides these artefacts, there is a huge amount of background knowledge that correlates all these resources and establishes their context. In this work, we present a new paradigm for heritage preservation — ...

7
November 2012 ACCV'12: Proceedings of the 11th international conference on Computer Vision - Volume 2
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

In this paper, we propose an archiving scheme for heritage mural paintings. The mural paintings typically depict stories from folk-lore, mythology and history. These narratives provide content-based correlations between different pieces of art. Our e-heritage scheme for archiving the mural paintings is based on an ontology which captures the background ...

8 published by ACM
December 2011 Journal on Computing and Cultural Heritage (JOCCH): Volume 4 Issue 3, December 2011
Publisher: ACM
Bibliometrics:
Citation Count: 7
Downloads (6 Weeks): 4,   Downloads (12 Months): 89,   Downloads (Overall): 784

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Preservation of intangible cultural heritage, such as music and dance, requires encoding of background knowledge together with digitized records of the performances. We present an ontology-based approach for designing a cultural heritage repository for that purpose. Since dance and music are recorded in multimedia format, we use Multimedia Web Ontology ...
Keywords: concept recognition, multimedia web ontology language, ontology construction, video annotation, Heritage preservation

9 published by ACM
October 2010 eHeritage '10: Proceedings of the second workshop on eHeritage and digital art preservation
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 3,   Downloads (12 Months): 26,   Downloads (Overall): 261

Full text available: PDFPDF
Cultural heritage is encoded in a variety of forms. The task of preserving heritage involves preserving the tangible and intangible resources that broadly define that heritage. A significant aspect of intangible heritage resources are performing arts which include classical dance and music. Digital heritage resources include heritage artefacts in digitized ...
Keywords: concept-recognition, heritage preservation, multimedia web ontology language, ontology construction, video annotation

10
December 2009 PReMI '09: Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

In this paper, we propose a scheme based on an ontological framework, to recognize concepts in multimedia data, in order to provide effective content-based access to a closed, domain-specific multimedia collection. The ontology for the domain is constructed from high-level knowledge of the domain lying with the domain experts, and ...

11 published by ACM
October 2008 MIR '08: Proceedings of the 1st ACM international conference on Multimedia information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 1,   Downloads (12 Months): 19,   Downloads (Overall): 547

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In this work, we offer an approach to combine standard multimedia analysis techniques with knowledge drawn from conceptual metadata provided by domain experts of a specialized scholarly domain, to learn a domain-specific multimedia ontology from a set of annotated examples. A standard Bayesian network learning algorithm that learns structure and ...
Keywords: multimedia web ontology language, video annotation, ontology learning, video retrieval

12
November 2007 WI-IATW '07: Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 3,   Downloads (Overall): 56

Full text available: PDFPDF
We present a novel content-based re-ranking scheme for enhancing the precision of video retrieval on the web. We use ontology specified knowledge of the video domain to map user queries to domain-based concepts. The user preferences are learned implicitly from the web logs of users' interaction with a video search ...
Keywords: Video retrievalRe-rankingMachine LearningOntology

13 published by ACM
September 2007 MS '07: Workshop on multimedia information retrieval on The many faces of multimedia semantics
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 10,   Downloads (Overall): 483

Full text available: PDFPDF
This paper proposes a new method for using implicit user feedback from clickthrough data to provide personalized ranking of results in a video retrieval system. The annotation based search is complemented with a feature based ranking in our approach. The ranking algorithm uses belief revision in a Bayesian Network, which ...
Keywords: bayesian network, content modeling, video retrieval, reinforcement learning



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