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 Miaojing Shi

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Average citations per article1.33
Citation Count8
Publication count6
Publication years2011-2015
Available for download4
Average downloads per article248.00
Downloads (cumulative)992
Downloads (12 Months)81
Downloads (6 Weeks)10
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6 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
June 2015 ICMR '15: Proceedings of the 5th ACM on International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 4,   Downloads (12 Months): 23,   Downloads (Overall): 103

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LSH is a popular framework to generate compact representations of multimedia data, which can be used for content based search. However, the performance of LSH is limited by its unsupervised nature and the underlying feature scale. In this work, we propose to improve LSH by incorporating two elements - supervised ...
Keywords: robust representation, supervised feature selection, multiple scale, perceptual image hash, locality sensitive hashing

2 published by ACM
March 2015 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Visual Understanding with RGB-D Sensors: Volume 6 Issue 2, May 2015
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 22,   Downloads (Overall): 183

Full text available: PDFPDF
Bag-of-visual-words (BOVW)-based image representation has received intense attention in recent years and has improved content-based image retrieval (CBIR) significantly. BOVW does not consider the spatial correlation between visual words in natural images and thus biases the generated visual words toward noise when the corresponding visual features are not stable. This ...
Keywords: penalty tree, spatial correlation, Co-TFIDF, high-order predictor, BOVW, Co-Cosine

3 published by ACM
November 2014 MM '14: Proceedings of the 22nd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 26,   Downloads (Overall): 152

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This paper introduces a group testing framework for detecting large similarities between high-dimensional vectors, such as descriptors used in state-of-the-art description of multimedia documents.At the crossroad of multimedia information retrieval and signal processing, we produce a set of group representations that jointly encode several vectors into a single one, in ...
Keywords: compressed sensing, image retrieval, group testing, large-scale databases, similarity search, high-dimensional spaces

4
March 2013 IEEE Transactions on Image Processing: Volume 22 Issue 3, March 2013
Publisher: IEEE Press
Bibliometrics:
Citation Count: 2

The bag-of-visual-words representation has been widely used in image retrieval and visual recognition. The most time-consuming step in obtaining this representation is the visual word generation, i.e., assigning visual words to the corresponding local features in a high-dimensional space. Recently, structures based on multibranch trees and forests have been adopted ...

5 published by ACM
October 2012 MM '12: Proceedings of the 20th ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 0,   Downloads (12 Months): 10,   Downloads (Overall): 554

Full text available: PDFPDF
Bag-of-visual-words (BOVW) based image representation has received intense attention in recent years and has improved content based image retrieval (CBIR) significantly. BOVW does not consider the spatial correlation between visual words in natural images and thus biases the generated visual words towards noise when the corresponding visual features are not ...
Keywords: bovw, high-order predictor, co-occurrence matrix

6
July 2011 ICME '11: Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

With the rapid development of bag-of-visual-word model and its wide-spread applications in various computer vision problems such as visual recognition, image retrieval tasks, etc., fast visual word assignment becomes increasingly important, especially for some on-line services and large scale settings. The conventional approximate nearest neighbor mapping techniques purely consider the ...



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