Tiejun Huang
Tiejun Huang

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tjhuangatpku.edu.cn

  Affiliation history
Bibliometrics: publication history
Average citations per article3.67
Citation Count224
Publication count61
Publication years2002-2016
Available for download17
Average downloads per article636.82
Downloads (cumulative)10,826
Downloads (12 Months)1,408
Downloads (6 Weeks)106
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61 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
October 2016 MM '16: Proceedings of the 2016 ACM on Multimedia Conference
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 36,   Downloads (12 Months): 446,   Downloads (Overall): 743

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In the past decade, SIFT is widely used in most vision tasks such as image retrieval. While in recent several years, deep convolutional neural networks (CNN) features achieve the state-of-the-art performance in several tasks such as image classification and object detection. Thus a natural question arises: for the image retrieval ...
Keywords: CNN, complementary CNN and SIFT (CCS), multi-level image representation, SIFT

2
October 2016 International Journal of Computer Vision: Volume 120 Issue 1, October 2016
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 0

Detecting conspicuous image content is a challenging task in the field of computer vision. In existing studies, most approaches focus on estimating saliency only with the cues from the input image. However, such "intrinsic" cues are often insufficient to distinguish targets and distractors that may share some common visual attributes. ...
Keywords: Extrinsic context, Gaussian mixture model, Image saliency, Intrinsic context, Visual surprise, Markov chain

3
July 2016 IJCAI'16: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

We present a novel approach called Minimal Reconstruction Bias Hashing (MRH) to learn similarity preserving binary codes that jointly optimize both projection and quantization stages. Our work tackles an important problem of how to elegantly connect optimizing projection with optimizing quantization, and to maximize the complementary effects of two stages. ...

4 published by ACM
June 2016 ICMR '16: Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 16,   Downloads (12 Months): 358,   Downloads (Overall): 566

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Emotion recognition is a challenging task because of the emotional gap between subjective emotion and the low-level audio-visual features. Inspired by the recent success of deep learning in bridging the semantic gap, this paper proposes to bridge the emotional gap based on a multimodal Deep Convolution Neural Network (DCNN), which ...
Keywords: multimodal deep learning, deep convolution neural network, emotion recognition

5
February 2016 AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 1

Hashing techniques are powerful for approximate nearest neighbour (ANN) search. Existing quantization methods in hashing are all focused on scalar quantization (SQ) which is inferior in utilizing the inherent data distribution. In this paper, we propose a novel vector quantization (VQ) method named affinity preserving quantization (APQ) to improve the ...

6
January 2016 Computer Vision and Image Understanding: Volume 142 Issue C, January 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

The fGMM is mathematically derived to eliminate the floating-point calculations.A division simulation algorithm is proposed to replace the division operations.The fGMM is implemented in FPGA to process HD videos in real-time. With the recent explosion in the use of video surveillance in security, social and industrial applications, it is highly ...
Keywords: Analysis-friendly, Background modeling, Surveillance video, Fixed-point Gaussian Mixture Model, Video coding

7 published by ACM
October 2015 MM '15: Proceedings of the 23rd ACM international conference on Multimedia
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 28,   Downloads (Overall): 145

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Since the introduction of consumer digital cameras, user-created multimedia content has become increasingly popular. Digital cameras, together with inexpensive editing tools, and free hosting sites have made multimedia an integral part of everyday life. Today, hundreds of hours video are uploaded to hosting sites every minute. Video-on-demand through wireless networks ...
Keywords: distributed system, multimedia, network camera

8
October 2015 Image Communication: Volume 38 Issue C, October 2015
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 1

Visual saliency is an effective tool for perceptual image processing. In the past decades, many saliency models have been proposed by primarily considering visual cues such as local contrast and global rarity. However, such explicit cues derived only from input stimuli are often insufficient to separate targets from distractors, leading ...
Keywords: Latent correlation, Random walk, Image saliency, Informativeness

9
July 2015 IJCAI'15: Proceedings of the 24th International Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 4

Hashing is one of the effective techniques for fast Approximate Nearest Neighbour (ANN) search. Traditional single-bit quantization (SBQ) in most hashing methods incurs lots of quantization error which seriously degrades the search performance. To address the limitation of SBQ, researchers have proposed promising multi-bit quantization (MBQ) methods to quantize each ...

10 published by ACM
February 2015 ACM Transactions on Information Systems (TOIS): Volume 33 Issue 2, February 2015
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 8,   Downloads (12 Months): 28,   Downloads (Overall): 186

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How to precisely and efficiently detect near-duplicate copies with complicated audiovisual transformations from a large-scale video database is a challenging task. To cope with this challenge, this article proposes a transformation-aware soft cascading (TASC) approach for multimodal video copy detection. Basically, our approach divides query videos into some categories and ...
Keywords: copy units, Video copy detection, multimodal features, soft decision boundary, transformation-aware soft cascading

11
January 2015 International Journal of Computer Vision: Volume 111 Issue 2, January 2015
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 6

Object segmentation is widely recognized as one of the most challenging problems in computer vision. One major problem of existing methods is that most of them are vulnerable to the cluttered background. Moreover, human intervention is often required to specify foreground/background priors, which restricts the usage of object segmentation in ...
Keywords: Foreground object segmentation, Visual saliency, Complementary saliency map, Graph cuts

12
May 2014 Computer: Volume 47 Issue 5, May 2014
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 1

The IEEE audio- and video-coding standards family includes updated tools that can be configured to serve new applications, such as surveillance, Internet, and intelligent systems video.
Keywords: IEEE 1857-2013, IEEE 1857.2-2013, multichannel audio compression, IEEE 1857.3-2013, audio coding, video coding, video compression, audio compression, intelligent systems

13 published by ACM
April 2014 ICMR '14: Proceedings of International Conference on Multimedia Retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 3
Downloads (6 Weeks): 3,   Downloads (12 Months): 27,   Downloads (Overall): 450

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As an important procedure in image retrieval, off-line indexing focuses on organizing relevant images together and making them easy to access. However, most of existing indexing strategies view database images individually and only consider partial relevance, i.e., either visual or semantic relevance among them. To overcome these issues and design ...
Keywords: Image Indexing, Large-Scale Visual Search

14 published by ACM
December 2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM): Volume 10 Issue 1, December 2013
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 2,   Downloads (12 Months): 21,   Downloads (Overall): 284

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Content-based copy detection (CBCD) is drawing increasing attention as an alternative technology to watermarking for video identification and copyright protection. In this article, we present a comprehensive method to detect copies that are subjected to complicated transformations. A multimodal feature representation scheme is designed to exploit the complementarity of audio ...
Keywords: Content-based copy detection, feature representation, temporal pyramid matching

15 published by ACM
August 2013 ICIMCS '13: Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 2,   Downloads (12 Months): 12,   Downloads (Overall): 109

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Rapidly growing popularity of mobile devices has provided an important platform for image search. Compared with traditional large-scale image search, mobile image search is more sensitive to the computational complexity and transmission cost. Therefore, most of existing image search approaches are not optimal for mobile applications. How to improve the ...
Keywords: nearest neighbor, spatial verification, binary phrase, mobile visual search

16
July 2013 IEEE MultiMedia: Volume 20 Issue 3, July 2013
Publisher: IEEE Computer Society Press
Bibliometrics:
Citation Count: 3

For video copy detection, no single audio-visual feature, or single detector based on several features, can work well for all transformations. This article proposes a novel video copy-detection and localization approach with scalable cascading of complementary detectors and multiscale sequence matching. In this cascade framework, a soft-threshold learning algorithm is ...
Keywords: VIdeo coding,Videos,Threshold analysis,Learning systems,Sequential analysis,Multimedia communication,multiscale sequence matching,TRECVID-CBCD,multimedia,video copy detection,scalable cascading,complementary detectors,soft threshold learning

17
April 2013 Image Communication: Volume 28 Issue 4, April, 2013
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

We propose to learn an extremely compact visual descriptor from the mobile contexts towards low bit rate mobile location search. Our scheme combines location related side information from the mobile devices to adaptively supervise the compact visual descriptor design in a flexible manner, which is very suitable to search locations ...
Keywords: Compact visual descriptor, Location recognition, Mobile visual search, Feature coding, Benchmark dataset, Contextual learning

18
November 2012 ACCV'12: Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

Non-contact, long-term monitoring human heart rate is of great importance to home health care. Recent studies show that Photoplethysmography (PPG) can provide a means of heart rate measurement by detecting blood volume pulse (BVP) in human face. However, most of existing methods use linear analysis method to uncover the underlying ...

19 published by ACM
September 2012 ICIMCS '12: Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 7,   Downloads (Overall): 61

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To improve query throughput, distributed image retrieval has been widely used to address the large scale visual search. In textual retrieval, the state-of-the-art approaches attempt to partition a textual database into multiple collections offline and allocate each collection to a server node. For each incoming query, just a few relevant ...
Keywords: distributed visual search, bag-of-words, semantics, collection selection, images allocation

20
July 2012 ICME '12: Proceedings of the 2012 IEEE International Conference on Multimedia and Expo
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 2

Utilizing the special properties to improve the surveillance video coding efficiency still has much room, although there have been three typical paradigms of methods: object-oriented, background-prediction-based and background-difference-based methods. However, due to the inaccurate foreground segmentation, the low-quality or unclear background frame, and the potential "foreground pollution" phenomenon, there is ...
Keywords: surveillance video coding, background difference coding, background modeling, mode selection



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