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 Jie Yu

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Average citations per article10.27
Citation Count226
Publication count22
Publication years2004-2012
Available for download9
Average downloads per article455.78
Downloads (cumulative)4,102
Downloads (12 Months)137
Downloads (6 Weeks)14
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22 results found Export Results: bibtexendnoteacmrefcsv

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1
January 2012 Multimedia Tools and Applications: Volume 56 Issue 1, January 2012
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 9

Geotagging has become a recent phenomenon that allows users to visualize and manage photo collections in many new and interesting ways. Unfortunately, manual geotagging of a large collection of pictures on the globe is still a time-consuming and laborious task even though geotagging devices are gradually being adopted. At the ...
Keywords: Visual matching, KNN, Location probability maps, Geotagged images

2 published by ACM
November 2011 WSM '11: Proceedings of the 3rd ACM SIGMM international workshop on Social media
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 0,   Downloads (12 Months): 9,   Downloads (Overall): 296

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With the popularity of digital cameras and camera phones, it is common for different people, who may or may not know each other, to attend the same event and take pictures and videos from different spatial or personal perspectives. Within the realm of social media, it is desirable to enable ...
Keywords: kernel sparse representation, photo sharing, collaborative media collection, sparse representation graph, graph matching, photo stream alignment

3 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): 1,   Downloads (12 Months): 18,   Downloads (Overall): 574

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Online social network services pose great opportunities and challenges for many research areas. In multimedia content analysis, automatic social group recommendation for images holds the promise to expand one's social network through media sharing. However, most existing techniques cannot generate satisfactory social group suggestions when the images are classified independently. ...
Keywords: active relevance feedback, collection-based sparse label propagation, group recommendation, Social image

4
January 2011 Multimedia Tools and Applications: Volume 51 Issue 1, January 2011
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 43

Geo-tagging is a fast-emerging trend in digital photography and community photo sharing. The presence of geographically relevant metadata with images and videos has opened up interesting research avenues within the multimedia and computer vision domains. In this paper, we survey geo-tagging related research within the context of multimedia and along ...
Keywords: Context, Geotagging, Multimedia, Location, GPS, Recognition

5 published by ACM
October 2010 CMM '10: Proceedings of the 1st ACM international workshop on Connected multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 4,   Downloads (Overall): 185

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Recent research has shown the power of geotagging for many multimedia applications. In this paper, we present an integrated and intuitive system for suggesting location-driven tags for a geotagged photo. Potential tags from multiple sources are extracted, including points of interest (POI) tags from a public Geographic Names Information System ...
Keywords: visual matching, geotagging, nearest neighbors, tag cloud

6 published by ACM
April 2010 WWW '10: Proceedings of the 19th international conference on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 4,   Downloads (12 Months): 15,   Downloads (Overall): 411

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Photo-sharing services have attracted millions of people and helped construct massive social networks on the Web. A popular trend is that users share their image collections within social groups, which greatly promotes the interactions between users and expands their social networks. Existing systems have difficulties in generating satisfactory social group ...
Keywords: label propagation, group recommendation, social image

7 published by ACM
April 2010 WWW '10: Proceedings of the 19th international conference on World wide web
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 2,   Downloads (12 Months): 8,   Downloads (Overall): 242

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In this demo, we present a system called iRIN designed for performing image retrieval in image-rich information networks. We first introduce MoK-SimRank to significantly improve the speed of SimRank, one of the most popular algorithms for computing node similarity in information networks. Next, we propose an algorithm called SimLearn to ...
Keywords: image retrieval, ranking, information network

8
December 2009 ICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 6

Popular photo-sharing sites have attracted millions of people and helped construct massive social networks in cyberspace. Different from traditional social relationship, users actively interact within groups where common interests are shared on certain types of events or topics captured by photos and videos. Contributing images to a group would greatly ...

9 published by ACM
October 2009 MM '09: Proceedings of the 17th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 28
Downloads (6 Weeks): 3,   Downloads (12 Months): 25,   Downloads (Overall): 633

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Photo community sites such as Flickr and Picasa Web Album host a massive amount of personal photos with millions of new photos uploaded every month. These photos constitute an overwhelming source of images that require effective management. There is an increasingly imperative need for semantic annotation of these web images. ...
Keywords: geographic annotation, canonical correlations, web image annotation

10
June 2009 ICME'09: Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Publisher: IEEE Press
Bibliometrics:
Citation Count: 9

Popular photo-sharing sites have attracted millions of people and helped construct massive social networks in Cyberspace. Different from traditional social relationships, users actively interact in groups where common interests are shared on certain types of events or topics captured by photos and videos. Contributing images to an interest group would ...
Keywords: image retrieval, contextual inference, group recommendation, social network

11 published by ACM
October 2008 MM '08: Proceedings of the 16th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 24
Downloads (6 Weeks): 4,   Downloads (12 Months): 27,   Downloads (Overall): 887

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Semantic event recognition based only on vision cues is a challenging problem. This problem is particularly acute when the application domain is unconstrained still images available on the Internet or in personal repositories. In recent years, it has been shown that metadata captured with pictures can provide valuable contextual cues ...
Keywords: geotagged photographs, event recognition, visual vocabulary

12 published by ACM
July 2008 CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 11
Downloads (6 Weeks): 0,   Downloads (12 Months): 9,   Downloads (Overall): 343

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Recent research has shown the power of context-aware scene understanding in bridging the semantic gap between high-level semantic concepts and low-level image features. In this paper, we present a new method to exploit nonvisual context information from the season and location proximity in which pictures were taken to facilitate region ...
Keywords: context-aware scene understanding, image retrieval, season and location proximity, spatial context, object/ region detection

13
April 2008 IEEE Transactions on Circuits and Systems for Video Technology: Volume 18 Issue 4, April 2008
Publisher: IEEE Press
Bibliometrics:
Citation Count: 8

One of the most challenging problems for image retrieval applications is to find the optimal mapping between high-level semantic concept and low-level features. Traditional approaches often assume that images with same semantic label share strong visual similarities and should be clustered together to facilitate modeling and classification. Our research indicates ...
Keywords: Image Retrieval, Subspace Learning, linear discriminant analysis (LDA), Principal Component Analysis, Relevance Feedback, Semantic Subspace Projection, principal component analysis, relevance feedback, semantic subspace projection (SSP), subspace learning, Image retrieval, Linear Discriminant Analysis

14
March 2008 IEEE Transactions on Pattern Analysis and Machine Intelligence: Volume 30 Issue 3, March 2008
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 23

In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance functions. A new set of distance measures are derived from the harmonic distance, the geometric distance, and their generalized variants according to the Maximum ...
Keywords: Image classification, Information retrieval, Pattern recognition, Artificial intelligence, Algorithms, Information retrieval, Algorithms, Artificial intelligence, Image classification, Pattern recognition

15
March 2007 IEEE Transactions on Circuits and Systems for Video Technology: Volume 17 Issue 3, March 2007
Publisher: IEEE Press
Bibliometrics:
Citation Count: 9

In this paper, a novel hybrid dimension reduction technique for classification is proposed based on the hybrid analysis of principal component analysis (PCA) and linear discriminant analysis (LDA). LDA is known for capturing the most discriminant features of the data in the projected space while PCA is known for preserving ...
Keywords: information retrieval, Artificial intelligence, pattern recognition, image classification

16
January 2007
Bibliometrics:
Citation Count: 0

Content-based Image Retrieval (CBIR) is an important computer vision application that automatically retrieves images of user interest from large database. It faces several challenges such as semantic gap, small sample size and high dimensionality. In this dissertation, novel discriminant analysis methods are generalized from the state-of-the-art techniques, such as Linear ...

17 published by ACM
October 2006 MM '06: Proceedings of the 14th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 8
Downloads (6 Weeks): 1,   Downloads (12 Months): 14,   Downloads (Overall): 513

Full text available: PDFPDF
In many image retrieval applications, the mapping between high-level semantic concept and low-level features is obtained through a learning process. Traditional approaches often assume that images with same semantic label share strong visual similarities and should be clustered together to facilitate modeling and classification. Our research indicates this assumption is ...
Keywords: relevance, semantic subspace projection, image retrieval

18
August 2006 ICPR '06: Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 4

Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and its variants have been widely used in CBIR applications because of their effectiveness in finding a projection that maps the original highdimensional space to a low-dimensional ...

19
June 2006 CVPR '06: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 11

In this paper, we present a general guideline to establish the relation between a distribution model and its corresponding similarity estimation. A rich set of distance metrics, such as harmonic distance and geometric distance, is derived according to Maximum Likelihood theory. These metrics can provide a more accurate feature model ...

20
June 2005 MCS'05: Proceedings of the 6th international conference on Multiple Classifier Systems
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 3

In this paper, a set of hybrid dimension reduction schemes is constructed by unifying principal component analysis (PCA) and linear discriminant analysis (LDA) in a single framework. PCA compensates LDA for singular scatter matrix caused by small set of training samples and increases the effective dimension of the projected subspace. ...



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