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 Chaoran Cui

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Average citations per article1.13
Citation Count17
Publication count15
Publication years2010-2018
Available for download9
Average downloads per article145.22
Downloads (cumulative)1,307
Downloads (12 Months)295
Downloads (6 Weeks)50
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15 results found Export Results: bibtexendnoteacmrefcsv

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1
January 2018 Neurocomputing: Volume 274 Issue C, January 2018
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Concept-based image search is an emerging search paradigm that utilizes a set of concepts as intermediate semantic descriptors of images to bridge the semantic gap. Typically, a user query is rather complex and cannot be well described using a single concept. However, it is less effective to tackle such complex ...
Keywords: Concept-based image search, Learning to rank, Complex query, Factorization machine

2 published by ACM
November 2017 CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 10,   Downloads (12 Months): 23,   Downloads (Overall): 23

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Automatically assessing image quality from an aesthetic perspective is of great interest to the high-level vision research community. Existing methods are typically non-personalized and quantify image aesthetics with a universal label. However, given the fact that aesthetics is a subjective perception, how to understand user aesthetic perceptions poses a formidable ...
Keywords: personalization, image aesthetics assessment, social media

3
October 2017 Journal of Visual Communication and Image Representation: Volume 48 Issue C, October 2017
Publisher: Academic Press, Inc.
Bibliometrics:
Citation Count: 0

A novel hybrid textual-visual relevance learning method is developed for CBIR.Tag completion is performed to alleviate the sparsity and unreliability of tags.Image semantics is represented as a distribution over the permutations of tags. Learning effective relevance measures plays a crucial role in improving the performance of content-based image retrieval (CBIR) ...
Keywords: Tag completion, Sparse linear method, Content-based image retrieval, Semantics modeling, Rank aggregation

4 published by ACM
September 2017 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 8 Issue 5, September 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 22,   Downloads (12 Months): 92,   Downloads (Overall): 92

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As mobile device penetration increases, it has become pervasive for images to be associated with locations in the form of geotags. Geotags bridge the gap between the physical world and the cyberspace, giving rise to new opportunities to extract further insights into user preferences and behaviors. In this article, we ...
Keywords: Geotagged photos, hypergraph-based learning, personalized POI recommendation

5 published by ACM
August 2017 SIGIR '17: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 15,   Downloads (12 Months): 101,   Downloads (Overall): 101

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Aesthetics has become increasingly prominent for image search to enhance user satisfaction. Therefore, image aesthetics assessment is emerging as a promising research topic in recent years. In this paper, distinguished from existing studies relying on a single label, we propose to quantify the image aesthetics by a distribution over quality ...
Keywords: aesthetics assessment, label distribution learning, image search

6
April 2017 IEEE Transactions on Multimedia: Volume 19 Issue 4, April 2017
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

Content-based near-duplicate video detection (NDVD) is essential for effective search and retrieval, and robust video fingerprinting is a good solution for NDVD. Most existing video fingerprinting methods use a single feature or concatenate different features to generate video fingerprints, and show good performance under single-mode modifications such as noise addition ...

7
March 2017 Multimedia Tools and Applications: Volume 76 Issue 6, March 2017
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 2

High quality tags play a critical role in applications involving online multimedia search, such as social image annotation, sharing and browsing. However, user-generated tags in real world are often imprecise and incomplete to describe the image contents, which severely degrades the performance of current search systems. To improve the descriptive ...
Keywords: Tag relevance learning, Neighbor voting, Tag-based image search, Learning to rank

8 published by ACM
October 2015 MM '15: Proceedings of the 23rd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 3,   Downloads (12 Months): 28,   Downloads (Overall): 112

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User-generated tags associated with social images are frequently imprecise and incomplete. Therefore, a fundamental challenge in tag-based applications is the problem of tag relevance estimation, which concerns how to interpret and quantify the relevance of a tag with respect to the contents of an image. In this paper, we address ...
Keywords: learning to rank, tag-based image search, neighbour voting, tag relevance estimation

9
January 2015 Journal of the Association for Information Science and Technology: Volume 66 Issue 1, January 2015
Publisher: John Wiley & Sons, Inc.
Bibliometrics:
Citation Count: 0

Automatic image annotation plays a critical role in modern keyword-based image retrieval systems. For this task, the nearest-neighbor-based scheme works in two phases: first, it finds the most similar neighbors of a new image from the set of labeled images; then, it propagates the keywords associated with the neighbors to ...
Keywords: image retrieval, machine learning

10
May 2014 Soft Computing - A Fusion of Foundations, Methodologies and Applications: Volume 18 Issue 5, May 2014
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Since the user generated contents in Web forums are rich but vary in quality, ranging from excellent detailed opinions to simple repetition of the content of previous, or even spams, it is difficult to find high quality information in the process of post browsing, retrieval and other Web forum applications. ...
Keywords: Genetic programming, LDA, Learning to rank, Web forum

11 published by ACM
July 2013 SIGIR '13: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 16,   Downloads (Overall): 257

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Automatic image annotation plays a critical role in keyword-based image retrieval systems. Recently, the nearest-neighbor based scheme has been proposed and achieved good performance for image annotation. Given a new image, the scheme is to first find its most similar neighbors from labeled images, and then propagate the keywords associated ...
Keywords: nearest-neighbor based scheme, image annotation, learning to rank

12 published by ACM
October 2012 CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 0,   Downloads (12 Months): 8,   Downloads (Overall): 101

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Automatic image annotation plays an important role in modern keyword-based image retrieval systems. Recently, many neighbor-based methods have been proposed and achieved good performance for image annotation. However, existing work mainly focused on exploring a distance metric learning algorithm to determine the neighbors of an image, and neglected the subsequent ...
Keywords: semantic coherence, image annotation, structural learning

13
August 2011 WI-IAT '11: Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 8,   Downloads (Overall): 83

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The huge amount of knowledge in web forums has motivated great research interests in recent years. However, tracking semantic dependencies in each thread in web forums has posed a challenging problem for researchers. In this paper, we explore an unsupervised topic model to burst through this issue by simultaneously modeling ...
Keywords: Web forums, Topic modeling, Post Propagation Model

14 published by ACM
April 2011 ICMR '11: Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 8,   Downloads (Overall): 211

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Most of the state-of-the-art systems for object localization rely on supervised machine learning techniques, and are thus limited by the lack of labeled training data. In this paper, our motivation is to provide training dataset for object localization effectively and efficiently. We argue that the notes data in Flickr can ...
Keywords: active learning, object localization, SVM, Flickr, incremental learning

15 published by ACM
July 2010 SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 0,   Downloads (12 Months): 12,   Downloads (Overall): 328

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Publication Time (P-time for short) of Web pages is often required in many application areas. In this paper, we address the issue of P-time detection and its application for page rank. We first propose an approach to extract P-time for a page with explicit P-time displayed on its body. We ...
Keywords: publication time extraction, page rank, temporal information detection, publication time inference



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