Mingjing Li

Publications
Influence

Jingrui He, Mingjing Li, H. Zhang, H. Tong, C. Zhang
Computer Science
MULTIMEDIA '04
10 October 2004

In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Expand

A user attention model for video summarization

Yu-Fei Ma, L. Lu, H. Zhang, Mingjing Li
Computer Science
MULTIMEDIA '02
1 December 2002

In this paper, we present a generic framework of video summarization based on the modeling of viewer's attention. Expand

Blur detection for digital images using wavelet transform

H. Tong, Mingjing Li, H. Zhang, C. Zhang
Computer Science
IEEE International Conference on Multimedia and…
27 June 2004

A new blur detection scheme is proposed in this paper, which can determine whether an image is blurred or not and to what extent animage is blurred. Expand

Image annotation via graph learning

J. Liu, Mingjing Li, Qingshan Liu, H. Lu, Songde Ma
Mathematics, Computer Science
Pattern Recognit.
1 February 2009

We propose a Nearest Spanning Chain (NSC) method to construct image-based graph, whose edge-weights are derived from the chain-wise statistical information instead of the traditional pairwise similarities. Expand

An efficient and effective region-based image retrieval framework

Feng Jing, Mingjing Li, H. Zhang, Bo Zhang
Computer Science, Medicine
IEEE Trans. Image Process.
1 May 2004

An image retrieval framework that integrates efficient region-based representation in terms of storage and complexity and effective on-line learning capability is proposed. Expand

Online video recommendation based on multimodal fusion and relevance feedback

B. Yang, T. Mei, Xian-Sheng Hua, Linjun Yang, S. Yang, Mingjing Li
Computer Science
CIVR '07
9 July 2007

This paper presents a novel online video recommendation system based on multimodal fusion and relevance feedback to automatically adjust intra-weights within each modality by users' click-though data. Expand

A probabilistic model for retrospective news event detection

Z. Li, Bin Wang, Mingjing Li, W. Ma
Computer Science
SIGIR '05
15 August 2005

We propose a probabilistic model to incorporate both content and time information in a unified framework. Expand

Learning in Region-Based Image Retrieval

Feng Jing, Mingjing Li, Lei Zhang, H. Zhang, Bo Zhang
Computer Science
CIVR
24 July 2003

In this paper, several effective learning algorithms using global image representations are adjusted and introduced to regionbased image retrieval (RBIR). Expand

Toward a unified approach to statistical language modeling for Chinese

Jianfeng Gao, J. Goodman, Mingjing Li, K. Lee
Computer Science
TALIP
1 March 2002

This article presents a unified approach to Chinese statistical language modeling (SLM) that automatically gathers a high-quality training data set from the Web, creates a high quality lexicon, segments the training data using this lexicon and compresses the language model using the maximum likelihood principle. Expand

Learning a semantic space from user's relevance feedback for image retrieval

X. He, O. King, W. Ma, Mingjing Li, H. Zhang
Computer Science
IEEE Trans. Circuits Syst. Video Technol.
2003

We propose spectral methods to infer a semantic space from user's relevance feedback, so that our system will gradually improve its retrieval performance through accumulated user interactions. Expand

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