A Unified Optimization Based Learning Method for Image Retrieval * (2009)
Hanghang Tong, Jingrui He, Mingjing Li, Wei-ying Ma, Changshui Zhang, Hong-jiang Zhang
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimization problem,...
Wei Jiang, Mingjing Li, Hongjiang Zhang, Jinwei Gu
To really bridge the gap between high-level semantics and low-levelfeatures in content-based image retrieval (CBIR), a problem that must be solved is: which features are suit-able for explaining the...
• Web image search overview ̵ Motivation of image retrieval research ̵ Types of image search engines • Content-based image retrieval
Generalized Manifold-Ranking-Based Image Retrieval (2008)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
Abstract—In this paper, we propose a general transductive learning framework named generalized manifold-ranking-based image retrieval (gMRBIR) for image retrieval. Comparing with an existing...
7. Active Concept Learning for Image Retrieval in Dynamic Databases (2008)
Maneesh Singh, Xiaofeng Ren, Yuri Boykov, Jing Zhong, Shuicheng Yan, Mingjing Li, ...
Nebojsa Jojic, Brendan Frey, Anitha Kannan. Pages 34–41. See the CD-ROM for a video of epitome learning and the epitome webpage for further examples, comparisons and software.
SYMMETRY FEATURE IN CONTENT-BASED IMAGE RETRIEVAL * (2008)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Changshui Zhang
In this paper, we first apply the theory of wallpaper groups to natural images and extract a novel feature to depict the symmetry property of natural images. The original proposed algorithm takes...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-ying Ma, Changshui Zhang
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by means of Markov random...
Online Video Recommendation Based on Multimodal Fusion and Relevance Feedback ∗ (2008)
Bo Yang, Tao Mei, Xian-sheng Hua, Linjun Yang, Shi-qiang Yang, Mingjing Li
With Internet delivery of video content surging to an unprecedented level, video recommendation has become a very popular online service. The capability of recommending relevant videos to targeted...
Adaptive User Profile Model and Collaborative Filtering for Personalized News (2008)
Jue Wang, Zhiwei Li, Jinyi Yao, Zengqi Sun, Mingjing Li, Wei-ying Ma
Abstract. In recent years, personalized news recommendation has received increasing attention in IR community. The core problem of personalized recommendation is to model and track users ’...
Manifold-Ranking Based Keyword Propagation for Image Retrieval * (2008)
Hanghang Tong, Jingrui He, Mingjing Li, Wei-ying Ma, Hong-jiang Zhang, Changshui Zhang
In this paper, a novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary
Relevance Feedback for Keyword and Visual Featurebased Image Retrieval * (2008)
Feng Jing, Mingjing Li, Hong-jiang Zhang, Bo Zhang
Abstract. In this paper, a relevance feedback scheme for both keyword and visual feature-based image retrieval is proposed. For each keyword, a statistical model is trained offline based on visual...
A Novel Gabor-LDA Based Face Recognition Method (2008)
Yanwei Pang, Lei Zhang, Mingjing Li, Zhengkai Liu, Weiying Ma
Abstract. In this paper, a novel face recognition method based on Gabor-wavelet and linear discriminant analysis (LDA) is proposed. Given training face images, discriminant vectors are computed using...
Jingrui He, Mingjing Li, Zhiwei Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
Abstract. To improve the precision of top-ranked images returned by a web image search engine, we propose in this paper a novel pseudo relevance feedback method named iterative probabilistic...
AUTOMATED RED-EYE DETECTION AND CORRECTION IN DIGITAL PHOTOGRAPHS (2008)
Lei Zhang, Yanfeng Sun, Mingjing Li, Hongjiang Zhang
Caused by light reflected off the subject's retina, red-eye is a troublesome problem in consumer photography. Although most of the cameras have the red-eye reduction mode, the result reality is...
Parallel Image Matrix Compression for Face Recognition (2008)
Dong Xu, Shuicheng Yan, Lei Zhang, Mingjing Li, Weiying Ma, Zhengkai Liu, ...
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small training data, face...
Overview of the ImageCLEF 2007 Object Retrieval Task (2008)
Deselaers, Thomas, Hanbury, Allan, Viitaniemi, Ville, Farquhar, Jason D.R., Brendel, Mátyás, Daróczy, Bálint, ...
We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely used PASCAL...
Hanghang Tong, Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos Fast, Hanghang Tong, ...
Zhang. Manifold-Ranking Based Keyword Propagation for Image Retrieval. EURASIP
Zheng Chen, Liu Wenyin, Rui Yang, Mingjing Li, Hongjiang Zhang
A web media agent is presented, which can make a user’s web surfing experience more productive. Once the user visits a web page, semantic descriptions of the media objects on the page are...
Jianfeng Gao, Mingjing Li, Joshua T. Goodman, Kai-fu Lee
This paper presents a unified approach to Chinese statistical language modeling (SLM). Applying SLM techniques like trigram language models to Chinese is challenging because (1) there is no standard...
Jianfeng Gao, Mingjing Li, Joshua T. Goodman, Kai-fu Lee
This paper presents a unified approach to Chinese statistical language modeling (SLM). Applying SLM techniques like trigram language models to Chinese is challenging because (1) there is no standard...
An Efficient Memorization Scheme for Relevance Feedback in Image Retrieval (2007)
Lei Zhang, Fang Qian, Mingjing Li, Hong-Jiang Zhang
We propose a novel approach to memorizing content relevance information accumulated in relevance feedback sessions (historical relevance feedback) in image retrieval. It is based on the idea that by...
Overview of the ImageCLEF 2007 Object Retrieval Task (2007)
Deselaers, Thomas, Hanbury, Allan, Viitaniemi, Ville, Benczur, Andras, Brendel, Matyas, Daroczy, Balint, ...
We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely used PASCAL...
Mining Text and Visual Links to Browse TV Programs in a Web-Like Way (2007)
FAN, Xin, MIYAMORI, Hisashi, TANAKA, Katsumi, LI, Mingjing
As the amount of recorded TV content is increasing rapidly, people need active and interactive browsing methods. In this paper, we use both text information from closed captions and visual...
Overview of the ImageCLEF 2007 object retrieval task (2007)
Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András Benczúr, Mátyás Brendel, Bálint Daróczy, ...
Abstract. We describe the object retrieval task of ImageCLEF 2007, give an overview of the methods of the participating groups, and present and discuss the results. The task was based on the widely...
Manifold-Ranking-Based Keyword Propagation for Image Retrieval (2006)
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang
A novel keyword propagation method is proposed for image retrieval based on a recently developed manifold-ranking algorithm. In contrast to existing methods which train a binary classifier for each...
A memory learning framework for effective image retrieval (2005)
Junwei Han, King N. Ngan, Mingjing Li, Hong-jiang Zhang
Abstract—Most current content-based image retrieval systems are still incapable of providing users with their desired results. The major difficulty lies in the gap between low-level image features...
Learning no-reference quality metric by examples (2005)
Hanghang Tong, Mingjing Li, Hong-jiang Zhang, Changshui Zhang, Jingrui He, Wei-ying Ma
In this paper, a novel learning based method is proposed for No-Reference image quality assessment. Instead of examining the exact prior knowledge for the given type of distortion and finding a...
A probabilistic semantic model for image annotation and multi-modal image retrieval (2005)
Ruofei Zhang, Zhongfei (mark Zhang, Mingjing Li, Hong-jiang Zhang
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilistic semantic model...
Graph based multi-modality learning (2005)
Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-ying Ma
To better understand the content of multimedia, a lot of research efforts have been made on how to learn from multi-modal feature. In this paper, it is studied from a graph point of view: each kind...
A probabilistic model for retrospective news event detection (2005)
Zhiwei Li, Mingjing Li, Wei-ying Ma
Retrospective news event detection (RED) is defined as the discovery of previously unidentified events in historical news corpus. Although both the contents and time information of news articles are...
Manifold-ranking based image retrieval (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ranking algorithm to...
Automatic peak number detection in image symmetry analysis”, submitted to PCM’2004 (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
Abstract. In repeated pattern analysis, peak number detection in autocorrelation is of key importance, which subsequently determines the correctness of the constructed lattice. Previous work...
C.: W-Boost and Its Application to Web Image Classification (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Changshui Zhang
When training data is not sufficient, boosting algorithms tend to overfit as more weak learners are combined to form a strong classifier. In this paper, we propose a new variant of RealBoost, called...
Efficient propagation for face annotation in family albums (2004)
Lei Zhang, Yuxiao Hu, Mingjing Li, Weiying Ma, Hongjiang Zhang
In this paper, we propose and investigate a new user scenario for face annotation, in which users are allowed to multi-select a group of photographs and assign names to these photographs. The system...
Xuezheng Liu, Lei Zhang, Mingjing Li, Hongjiang Zhang, Dingxing Wang
Image classification is of great importance for digital photograph management. In this paper we propose a general statistical learning method based on boosting algorithm to perform image...
Efficient propagation for face annotation in family albums (2004)
Lei Zhang, Yuxiao Hu, Mingjing Li, Weiying Ma, Hongjiang Zhang
In this paper, we propose and investigate a new user scenario for face annotation, in which users are allowed to multi-select a group of photographs and assign names to these photographs. The system...
Manifold-ranking based image retrieval (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ranking algorithm to...
Classification of digital photos taken by photographers or home users (2004)
Hanghang Tong, Mingjing Li, Hong-jiang Zhang, Jingrui He, Changshui Zhang
Abstract. In this paper, we address a specific image classification task, i.e. to group images according to whether they were taken by photographers or home users. Firstly, a set of low-level...
Mean version space: a new active learning method for content-based image retrieval (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed up the convergence to...
Classification of digital photos taken by photographers or home users (2004)
Hanghang Tong, Mingjing Li, Hong-jiang Zhang, Jingrui He, Changshui Zhang
Abstract. In this paper, we address a specific image classification task, i.e. to group images according to whether they were taken by photographers or home users. Firstly, a set of low-level...
Noreference quality assessment for JPEG2000 compressed images (2004)
Hanghang Tong, Mingjing Li, Hong-jiang Zhang, Changshui Zhang
No-Reference quality assessment is a relatively new topic and has been attracting more and more attention in recent years. Due to the limited understanding of the human vision system, most of the...
Automatic peak number detection in image symmetry analysis”, submitted to PCM’2004 (2004)
Jingrui He, Mingjing Li, Hong-jiang Zhang, Hanghang Tong, Changshui Zhang
Abstract. In repeated pattern analysis, peak number detection in autocorrelation is of key importance, which subsequently determines the correctness of the constructed lattice. Previous work...
Relevance feedback in content-based image search (2003)
Hong-jiang Zhang, Zheng Chen, Wen-yin Liu, Mingjing Li
Abstract: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful technique...
Learning a Semantic Space From User’s Relevance Feedback for Image Retrieval (2003)
Xiaofei He, Oliver King, Wei-ying Ma, Mingjing Li, Hong-jiang Zhang, Senior Member
Abstract—As current methods for content-based retrieval are incapable of capturing the semantics of images, we experiment with using spectral methods to infer a semantic space from user’s...
Unsupervised Image Segmentation Using Local Homogeneity Analysis (2003)
Feng Jing, Mingjing Li, Hong-jiang Zhang, Bo Zhang
In this paper, a novel method is presented for unsupervised image segmentation based on local homogeneity analysis. First, a criterion for homogeneity of a certain pattern is proposed. Applying the...
Learning in region-based image retrieval (2003)
Feng Jing, Mingjing Li, Lei Zhang, Hong-jiang Zhang, Bo Zhang
Abstract. In this paper, several effective learning algorithms using global image representations are adjusted and introduced to region-based image retrieval (RBIR). First, the query point movement...
Bayesian Face Annotation in Family Albums (2003)
Lei Zhang, Longbin Chen, Mingjing Li, Hongjiang Zhang
Automatic annotation of photographs is one of the most desirable needs in family photograph management systems. This paper presents a new framework for semiautomated face annotation in family photo...
A User Attention Model for Video Summarization (2003)
Yu-Fei Ma, Lie Lu, Hong-Jiang Zhang, Mingjing Li
Automatic generation of video summarization is one of the key techniques in video management and browsing. In this paper, we present a generic framework of video summarization based on the modeling...
Relevance feedback in content-based image search (2003)
Hong-jiang Zhang, Zheng Chen, Wen-yin Liu, Mingjing Li
Abstract: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful technique...
Learning in region-based image retrieval (2003)
Feng Jing, Mingjing Li, Lei Zhang, Hong-jiang Zhang, Bo Zhang
Abstract. In this paper, several effective learning algorithms using global image representations are adjusted and introduced to region-based image retrieval (RBIR). First, the query point movement...
Color Texture Moments for Content-Based Image Retrieval (2003)
Hui Yu, Mingjing Li, Hong-Jiang Zhang, Jufu Feng
In this paper, we adopt local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of co-occurrence relations of image pixels in...
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework (2003)
Shuicheng Yan, Mingjing Li, Hongjiang Zhang, Qiansheng Cheng
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood of local features...
Statistical correlation analysis in image retrieval (2002)
Mingjing Li, Zheng Chen, Hong-jiang Zhang
A statistical correlation model for image retrieval is proposed. This model captures the semantic relationships among images in a database from simple statistics of userprovided relevance feedback...
Learning and inferring a semantic space from user’s relevance feedback for image retrieval (2002)
Xiaofei He, Wei-ying Ma, Oliver King, Mingjing Li, Hongjiang Zhang
As current methods for content-based retrieval are incapable of capturing the semantics of images, we experiment with using spectral methods to infer a semantic space from user’s relevance...
International Journal of Image and Graphics (2002)
Longbin Chen, Baogang Hu, Lei Zhang, Mingjing Li, Hongjiang Zhang
this paper, we propose a framework to semi-automatically annotate faces in family photo albums. The core of the framework is the features used to define face similarity and this results in the...
MyPhotos - A System for Home Photo Management and Processing (2002)
Yanfeng Sun, Hongjiang Zhang, Lei Zhang, Mingjing Li
MyPhotos is a prototype system for home photo management and processing. Several home user orientated image processing and analysis tools are provided. And several auto grouping methods can help user...
Performance Evaluation Protocol for Video Scene Detection Algorithms (2002)
Xian-Sheng Hua, Dong Zhang, Mingjing Li, Hong-Jiang Zhang
In this paper, we address the problem of performance evaluation (PE) of video scene detection algorithms. An objective and comprehensive protocol for performance evaluation and comparison of...
MSR-Asia at TREC-11 Video Track (2002)
Xian-Sheng Hua, Pei Yin, Huajian Wang, Junfeng Chen, Mingjing Li, ...
The Media Computing Group of Microsoft Research Asia participated in all the three tasks of Video tracks of TREC-11, including automatic Shot Boundary Determination, Semantic Feature Extraction and...
Gaussian Mixture Model for Relevance Feedback in Image Retrieval (2002)
Fang Qian, Mingjing Li, Lei Zhang, Hong-Jiang Zhang, Bo Zhang
Relevance Feedback (RF) has become a powerful technique in content-based image retrieval. Most RF methods assume that positive images follow the single Gaussian distribution, which is not sufficient...
Toward a unified approach to statistical language modeling for Chinese (2002)
Jianfeng Gao, Hai-feng Wang, Mingjing Li, Kai-fu Lee
This paper presents a unified approach to Chinese statistical language modeling (SLM). Applying SLM techniques like trigrams to Chinese is challenging because (1) there is no standard definition of...
iFind: a web image search engine (2001)
Zheng Chen, Liu Wenyin, Chunhui Hu, Mingjing Li, Hongjiang Zhang
Web mining for Web image retrieval (2001)
Zheng Chen, Liu Wenyin, Feng Zhang, Mingjing Li, Hongjiang Zhang
The popularity of digital images is rapidly increasing due to improving digital imaging technologies and convenient availability facilitated by the Internet. However, how to find user-intended images...
A Statistical Correlation Model for Image Retrieval (2001)
Mingjing Li, Zheng Chen, Liu Wenyin, Hong-jiang Zhang
A bigram correlation model for image retrieval is proposed, which captures the semantic relationships among images in a database from simple statistics of users ’ relevance feedback information. It...
Ubiquitous media agents for managing personal multimedia files (2001)
Liu Wenyin, Zheng Chen, Fan Lin, Rui Yang, Mingjing Li, Hongjiang Zhang
A novel idea of ubiquitous media agents is presented. Media agents are intelligent systems that are able to automatically collect and build personalized semantic indices of multimedia data on behalf...
Toward a unified approach to statistical language modeling for Chinese (2001)
Jianfeng Gao, Joshua Goodman, Mingjing Li, Kai-fu Lee
This article presents a unified approach to Chinese statistical language modeling (SLM). Applying SLM techniques like trigram language models to Chinese is challenging because (1) there is no...
N-gram distribution based language model adaptation. ICSLP2000 (2000)
Jianfeng Gao, Mingjing Li, Kai-fu Lee
This paper presents two techniques for language model (LM) adaptation. The first aims to build a more general LM. We propose a distribution-based pruning of n-gram LMs, where we prune n-grams that...