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Reliable feature point matching is a vital yet challenging process in feature-based image registration. In this paper, a robust feature point matching algorithm, which is called recovery and filtering vertex trichotomy matching, is proposed to remove outliers and retain sufficient inliers for remote sensing images. A novel affine-invariant descriptor, which is called the vertex trichotomy descriptor,...
With the rapid development of access control system based on biometric technologies, the conventional identification exposed more and more weakness while they are easy to be counterfeited and imitated. In this paper, we bring the access control systems with electrocardiogram identification into a practical application. Moreover, a new prompt based ECG algorithm are proposed to seek a more secure and...
We demonstrate the first large-scale image browsing system applied to 200,000 popular queries which utilizes image content to organize image search results. Given a query, the system extracts image content features such as color, shape, local features, face signatures and metadata from up to 1000 image results, and hierarchically clusters them to form an exemplar tree. A dynamic web-based user interface...
Categorizing web-based videos is an important yet challenging task. The difficulties arise from large data diversity within a category, lack of labeled data, and degradation of video quality. This paper presents a large scale video taxonomic classification scheme (with more than 1000 categories) tackling these issues. Taxonomic structure of categories is deployed in classifier training. To compensate...
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the presence of missing, sparse or noisy labels. We propose to achieve this by first manually creating a small labeled set and then extending it using additional sources such as related videos, searched videos, and text-based webpages...
This paper proposes a novel endpoint detection algorithm to improve the speech detection performance in noisy environments. In the proposed algorithm, Empirical Mode Decomposition is introduced to improve the performance of voice activity detector based on spectral entropy. We have evaluated system performance under noisy environments using a whispered database and NOISEX-92 Database. Experimental...
Protein subcellular localization provides insights into protein function. In literature, various computational methods have been developed for this problem based on protein sequences, where most methods have limited prediction accuracy. Therefore, a general computational method with high prediction accuracy is necessary. In this work, we present a novel balanced ensemble classifier for fungi protein...
High resolution satellite images offer abundance information of the earth surface for remote sensing applications. For two decades, the detection and monitoring of change using high resolution satellite images has been a topic of interest in remote sensing. Recent investigations have shown that the pixel-based analysis of change detection for high resolution images has explicit limits. Using object-based...
SURF descriptor is characterized with invariance for image shifting and changes of scale and view angle. SVM is regarded as a popular method in object recognition. In this paper, a method used in socket connector recognition based on SVM with SURF is proposed. At first, a SURF vector is constructed by extracting the invariant features. Then classification with SVM is carried out. Finally, the accuracy...
High resolution satellite images offer abundance information of the earth surface for remote sensing applications. Using change detection technology to extract the target area changes from high resolution remote sensing images and rapidly update map database has become a focus research of remote sensing information processing. However the traditional methods of change detection are not suitable for...
The number of video clips available online is growing at a tremendous pace. Conventionally, user-supplied metadata text, such as the title of the video and a set of keywords, has been the only source of indexing information for user-uploaded videos. Automated extraction of video content for unconstrained and large scale video databases is a challenging and yet unsolved problem. In this paper, we present...
A typical automatic face recognition system is composed of three parts: face detection, face alignment and face recognition. Conventionally, these three parts are processed in a bottom-up manner: face detection is performed first, then the results are passed to face alignment, and finally to face recognition. The bottom-up approach is one extreme of vision approaches. The other extreme approach is...
A method on circular pattern measurement in wafer fault pattern retrieval system is developed. It can help engineers to query circular wafer fault pattern to historical or other patterns for manufacturing fault detection and tracking. An enclosing polygon based on the vertices of boundary edges is constructed to describe the border of circular pattern. Experimental results show that the proposed approach...
Typically Web pages always contain a large amount of banner ads, navigation bars, and copyright notices etc. Such irrelevant information is not part of the main contents of the pages, they will seriously harm Web mining and searching. In this paper, we develop and evaluate a method that utilizes both the visual features and the semantic information to extract informative blocks. We first partition...
Digital animation is a widely used digital media on Internet to convey information. However, many animations nowadays are usually advertisements and contain only junk information. In order to detect and filter such information, a feature extraction, analysis and classification method for animation content understanding is proposed. A feature set composed of the traditional image/video features and...
Person identification is very important in the domain of multimedia news as it is often the focus of events in news stories and interest of searchers. However, this detection is impeded by the imprecise audio/visual analysis tools. In this paper, we describe a multimodal and multi-faceted approach to person-x detection in news video. We make use of multimodal features extracted from text, visual and...
Efficient 3D face reconstruction is very important for face animation and recognition. The slow speed of the 3D morphable model is due to the texture mapping. To improve the speed, we only use the shape matching to recover the 3D shape and use texture mapping to get the texture. However, only with the shape information, one image is not enough for accurate 3D face reconstruction. So, we propose to...
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