Chidansh Bhatt
Chidansh Bhatt

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chidanshatcomp.nus.edu.sg

  Affiliation history
Bibliometrics: publication history
Average citations per article3.29
Citation Count23
Publication count7
Publication years2009-2016
Available for download5
Average downloads per article269.60
Downloads (cumulative)1,348
Downloads (12 Months)104
Downloads (6 Weeks)10
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7 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
June 2016 ICMR '16: Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 24,   Downloads (Overall): 53

Full text available: PDFPDF
We propose a method for extractive summarization of audiovisual recordings focusing on topic-level segments. We first build a content similarity graph between all segments across the collection, using word vectors from the transcripts, and then select the most central segments for the summaries. We evaluate the method quantitatively on the ...
Keywords: multimedia summarization, task-based evaluation, content-based similarity

2 published by ACM
April 2014 ICMR '14: Proceedings of International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 3,   Downloads (12 Months): 13,   Downloads (Overall): 93

Full text available: PDFPDF
In this paper, we present an approach for topic-level search and hyperlinking of video snippets, which relies on content-based recommendation and multimodal re-ranking techniques. We identify topic-level segments using transcripts or subtitles and enrich them with other metadata. Segments are indexed in a word vector space. Given a text query ...
Keywords: video search, Topic segmentation, video hyperlinking

3 published by ACM
October 2013 MM '13: Proceedings of the 21st ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 4,   Downloads (12 Months): 21,   Downloads (Overall): 195

Full text available: PDFPDF
This paper presents the MUST-VIS system for the MediaMixer/VideoLectures.NET Temporal Segmentation and Annotation Grand Challenge. The system allows users to visualize a lecture as a series of segments represented by keyword clouds, with relations to other similar lectures and segments. Segmentation is performed using a multi-factor algorithm which takes advantage ...
Keywords: lecture recommendation, lecture segmentation

4 published by ACM
May 2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM): Volume 9 Issue 2, May 2013
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 2,   Downloads (12 Months): 13,   Downloads (Overall): 247

Full text available: PDFPDF
Despite the fact that performance improvements have been reported in the last years, semantic concept detection in video remains a challenging problem. Existing concept detection techniques, with ontology rules, exploit the static correlations among primitive concepts but not the dynamic spatiotemporal correlations. The proposed method rewards (or punishes) detected primitive ...
Keywords: multimedia data mining, Adaptive ontology rules, concept detection, model, dynamic correlation

5 published by ACM
February 2011 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 2 Issue 2, February 2011
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 3,   Downloads (12 Months): 29,   Downloads (Overall): 735

Full text available: PDFPDF
Existing sequence pattern mining techniques assume that the obtained events from event detectors are accurate. However, in reality, event detectors label the events from different modalities with a certain probability over a time-interval. In this article, we consider for the first time Probabilistic Temporal Multimedia (PTM) Event data to discover ...
Keywords: probabilistic interval based event mining, multimodal datamining, cross-modal correlation, sequence pattern mining, Multimedia datamining

6
January 2011 Multimedia Tools and Applications: Volume 51 Issue 1, January 2011
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 10

Advances in multimedia data acquisition and storage technology have led to the growth of very large multimedia databases. Analyzing this huge amount of multimedia data to discover useful knowledge is a challenging problem. This challenge has opened the opportunity for research in Multimedia Data Mining (MDM). Multimedia data mining can ...
Keywords: Probabilistic temporal multimedia data mining, Audio mining, Image mining, Video mining, Multimodal data mining, Survey, Text mining

7
December 2009 ICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Advances in RFID based sensor technologies has been used in applications which requires the tracking of assets, products and individuals. The recording of such movements is captured in a trajectory database and can be analyzed for the monitoring of abnormal events. In this paper, we describe a system called InViTA ...



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