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 Yantao Zheng

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Average citations per article17.38
Citation Count695
Publication count40
Publication years2006-2014
Available for download20
Average downloads per article424.90
Downloads (cumulative)8,498
Downloads (12 Months)533
Downloads (6 Weeks)36
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40 results found Export Results: bibtexendnoteacmrefcsv

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1
May 2014 Neurocomputing: Volume 131, May, 2014
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 1

Graph-based Semi-Supervised Learning (SSL) methods are the widely used SSL methods due to their high accuracy. They can well meet the manifold assumption with high computational cost, but don't meet the cluster assumption. In this paper, we propose a Semi-supervised learning via SPArse (SSPA) model. Since SSPA uses sparse matrix ...
Keywords: Manifold structure, Sparse model, Cluster structure, Semi-supervised learning

2 published by ACM
February 2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM): Volume 9 Issue 1, February 2013
Publisher: ACM
Bibliometrics:
Citation Count: 17
Downloads (6 Weeks): 3,   Downloads (12 Months): 35,   Downloads (Overall): 366

Full text available: PDFPDF
GPS devices have been widely used in automobiles to compute navigation routes to destinations. The generated driving route targets the minimal traveling distance, but neglects the sightseeing experience of the route. In this study, we propose an augmented GPS navigation system, GPSView , to incorporate a scenic factor into the ...
Keywords: Scenic driving, route planning, geo-mining

3
October 2012 Neurocomputing: Volume 95, October, 2012
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Domain adaptive video concept detection and annotation has recently received significant attention, but in existing video adaptation processes, all the features are treated as one modality, while multi-modalities, the unique and important property of video data, is typically ignored. To fill this blank, we propose a novel approach, named multi-modality ...
Keywords: Domain adaptive video annotation, Multi-graph optimization, Incremental extension, Multi-modality transfer

4
October 2012 Neurocomputing: Volume 95, October, 2012
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Recent research has discovered that leveraging ontology is an effective way to facilitate semantic video concept detection. As an explicit knowledge representation, a formal ontology definition usually consists of a lexicon, properties, and relations. In this paper, we present a comprehensive representation scheme for video semantic ontology in which all ...
Keywords: Ontology, Video concept detection, Pairwise correlation, Concept property, Hierarchical relation

5
September 2012 Expert Systems with Applications: An International Journal: Volume 39 Issue 12, September, 2012
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 0

Can we have a universal detector that could visually recognize unseen objects with no training exemplars available? Such a detector is so desirable, as there are hundreds of thousands of object concepts in human vocabulary but few labeled image examples available. In this study, we attempt to build such a ...
Keywords: Concept detection, Concept selection, Concept transfer, Semantic gap

6
June 2012 Multimedia Tools and Applications: Volume 58 Issue 3, June 2012
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 3

In recent years, the bag-of-words (BoW) video representations have achieved promising results in human action recognition in videos. By vector quantizing local spatial temporal (ST) features, the BoW video representation brings in simplicity and efficiency, but limitations too. First, the discretization of feature space in BoW inevitably results in ambiguity ...
Keywords: Human action recognition, Information-theoretic video matching, Probabilistic video representation

7 published by ACM
May 2012 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 3 Issue 3, May 2012
Publisher: ACM
Bibliometrics:
Citation Count: 30
Downloads (6 Weeks): 7,   Downloads (12 Months): 148,   Downloads (Overall): 1,122

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Recently, the phenomenal advent of photo-sharing services, such as Flickr and Panoramio, have led to volumous community-contributed photos with text tags, timestamps, and geographic references on the Internet. The photos, together with their time- and geo-references, become the digital footprints of photo takers and implicitly document their spatiotemporal movements. This ...
Keywords: Travel pattern mining, geotagged photos

8
February 2012 IEEE Transactions on Multimedia: Volume 14 Issue 1, February 2012
Publisher: IEEE Press
Bibliometrics:
Citation Count: 63

Video indexing, also called video concept detection, has attracted increasing attentions from both academia and industry. To reduce human labeling cost, active learning has been introduced to video indexing recently. In this paper, we propose a novel active learning approach based on the optimum experimental design criteria in statistics. Different ...

9
February 2012 IEEE Transactions on Multimedia: Volume 14 Issue 1, February 2012
Publisher: IEEE Press
Bibliometrics:
Citation Count: 14

This work presents a novel sparse ensemble learning scheme for concept detection in videos. The proposed ensemble first exploits a sparse non-negative matrix factorization (NMF) process to represent data instances in parts and partition the data space into localities, and then coordinates the individual classifiers in each locality for final ...

10
January 2012 MMM'12: Proceedings of the 18th international conference on Advances in Multimedia Modeling
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

The known item search task (KIS) aims to retrieve a unique video or video clip in the video corpus. This paper presents a novel interactive video browsing system for KIS task. Our system integrates visual content-based, text-based and concept-based search approaches. It allows users to flexibly choose the search approaches. ...

11
December 2011 IEEE Transactions on Multimedia: Volume 13 Issue 6, December 2011
Publisher: IEEE Press
Bibliometrics:
Citation Count: 5

One of the main challenges in interactive concept-based video search is the problem of insufficient relevant samples, especially for queries with complex semantics. In this paper, “related samples” are exploited to enhance interactive video search. The related samples refer to those video segments that are relevant to part of the ...

12 published by ACM
November 2011 MM '11: Proceedings of the 19th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 9
Downloads (6 Weeks): 0,   Downloads (12 Months): 6,   Downloads (Overall): 290

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Classifiers for primitive visual concepts like "car", "sky" have been well developed and widely used to support video search on simple queries. However, it is usually ineffective for complex queries like "one or more people at a table or desk with a computer visible", as they carry semantics far more ...
Keywords: multi-task learning, video search, complex query, primitive concept, concept bundle

13 published by ACM
November 2011 MM '11: Proceedings of the 19th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 9,   Downloads (Overall): 128

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We introduce a novel query-to-modality mapping approach to the TRECVid 2010 known-Item video search (KIS) task. To search for a specific target video, a KIS query is verbose with many multi-modal attributes. Issuing all search terms to a retrieval engine will confuse the search criteria in different modalities and result ...
Keywords: query segmentation, multimedia search

14
October 2011 Information Sciences: an International Journal: Volume 181 Issue 19, October, 2011
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 7

This paper introduces an effective interactive video retrieval system named VisionGo. It jointly explores human and computer to accomplish video retrieval with high effectiveness and efficiency. It assists the interactive video retrieval process in different aspects: (1) it maximizes the interaction efficiency between human and computer by providing a user ...
Keywords: Active learning, Interactive video retrieval, Relevance feedback

15 published by ACM
April 2011 ICMR '11: Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 8,   Downloads (Overall): 162

Full text available: PDFPDF
Content Based Image Retrieval (CBIR) has attracted increasing attention from both academia and industry. Relevance Feedback is one of the most effective techniques to bridge the semantic gap in CBIR. One of the key research problems related to relevance feedback is how to select the most informative images for users ...
Keywords: image retrieval, optimum experimental design, relevance feedback, active learning

16 published by ACM
April 2011 ICMR '11: Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 15
Downloads (6 Weeks): 2,   Downloads (12 Months): 7,   Downloads (Overall): 311

Full text available: PDFPDF
Social video sharing websites allow users to annotate videos with descriptive keywords called tags, which greatly facilitate video search and browsing. However, many tags only describe part of the video content, without any temporal indication on when the tag actually appears. Currently, there is very little research on automatically assigning ...
Keywords: tag-based video browsing, tag-based video search, internet video tagging

17
January 2011 MMM'11: Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 2

The phenomenal advances of photo-sharing services, such as Flickr™, have led to voluminous community-contributed photos with socially generated textual, temporal and geographical metadata on the Internet. The photos, together with their time- and geo-references, implicitly document the photographers' spatiotemporal movement paths. This study aims to leverage the wealth of these ...
Keywords: geo-mining, human mobility analysis

18
January 2011 MMM'11: Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 4

Visual summarization of landmarks is an interesting and non-trivial task with the availability of gigantic community-contributed resources. In this work, we investigate ways to generate representative and distinctive views of landmarks by automatically discovering the underlying Scenic Themes (e.g. sunny, night view, snow, foggy views, etc.) via a content-based analysis. ...
Keywords: scenic theme detection, dirichlet process, dirichlet process gaussian mixture model

19
January 2011 Multimedia Tools and Applications: Volume 51 Issue 1, January 2011
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 33

In recent years, the emergence of georeferenced media, like geotagged photos, on the Internet has opened up a new world of possibilities for geographic related research and applications. Despite of its short history, georeferenced media has been attracting attentions from several major research communities of Computer Vision, Multimedia, Digital Libraries ...
Keywords: Geotagged photo, Georeferenced media, Survey

20 published by ACM
October 2010 MM '10: Proceedings of the 18th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 1,   Downloads (12 Months): 21,   Downloads (Overall): 237

Full text available: PDFPDF
In this paper, we propose a location based reminder system with image recognition technology. With this system, mobile phone users can actively capture pictures from their favorite product or event promotional materials. After the phone user sends the picture to a computer server, location based reminders will be downloaded to ...
Keywords: image recognition, location based service, mobile advertisement



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