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This paper presents a new method to select a segment-to-segment matching by analysing signature verification, accordingly curve segments used in signature verification and the regional feature contained in the curve segment are picked-up and the regional features are selected by ant colony optimization (ACO) algorithm and genetic algorithms(GAs). Namely, features selected are first encoded into chromosome,...
Web mining has become an important field of research. However, there is an important challenge to applying the technique to NLP applications. An integrated data mining system for NLP in Chinese commercial Web sites is presented in this paper. It presented the data mining process in detail. More importantly, it puts forward a new enhanced method to acquire user preferences. Web mining applied to NLP...
Image annotation plays a very important role in managing and retrieving abundant images over the Internet nowadays. In this paper, we try to propose a human-computer interactive framework for online image annotation which fully considers the human judgments and all online-users' feedback. First, an interactive image annotation interface is demonstrated. It is utilized to interact with online-users...
User recommendation problem is important for mobile operators when they provide some new service to users. The traditional methods provide a low success rate. In this paper, we present a novel user selection method of advertising recommendation according to the maximal frequent items discovery theory. The experimental results demonstrate that our method can improve the success rate dramatically and...
Content-based image retrieval is an important research topic in computer vision. MPEG-7 set up a set of standardized description of image contents. By introducing the widely used feature descriptors, we analyze the limitation and deficiency of retrieval methods based on global features in this paper. Meanwhile, an image retrieval approach based on integrated features of regions for MPEG-7 is put forward...
This paper proposes a novel approach which combines empirical mode decomposition (EMD), short-time analysis and support vector machine (SVM) for text-independent speaker recognition. Short-time analysis is used for the result of empirical mode decomposition to extract speech features of speakers, and then the support vector machine are used for speaker recognition. Experiments demonstrate that the...
With the increasing demand of video services, efficient detection approaches are required to deal with the increasing amount of sport video like baseball, tennis and soccer. Specially, due to characteristics of soccer game, timeliness is a foremost. So apart from efficient performance, real-time or near real-time performance is crucial. In this paper, we propose an effective method for soccer video...
This paper focuses on automatic adult video sequences recognition from the perspective of feature porno-sounds detection, which serves as a verification step, a supplementary method and an independent detector. To the special of erotic sounds, their feature analysis is given. Our statistics and experiments show that features such as energies in subbands, ??-spectral centroid, mean of short-time zero-crossing...
Rear camera or other wide-angle camera mounted on vehicle has serious perspective effect which makes driver unable to feel distance correctly and is not helpful for succeeding image analysis. To remove perspective effect, it's necessary to change diagonal view to bird's-eye view. In this paper, a software-hardware cooperative bird's-eye view system is proposed, which can estimates the transformation...
Gabor feature extracted by Gabor wavelet is widely used in face recognition and proved efficiency. But the dimension of the Gabor feature vector is so high that makes it very hardly to compute and store the feature directly in practice. Some methods are proposed to reduce the dimension of Gabor feature in literature. A new method to select the key points in face image is proposed in this paper, and...
In this paper, we present the first biometric identity based signature (BIO-IBS) scheme that is fully secure in the standard model. We use biometric information as the identity and construct the user's public key by using a fuzzy extractor. A biometric reading provided by the alleged signer would be enough to verify the signature. The scheme was proven fully secure based on well-exploited q-Strong...
In recent years, feature based object detection has attracted increasing attention in computer vision research community. However, to our best knowledge, no previous work has focused on utilizing local binary pattern (LBP) for vehicle detection in intelligent transportation system (ITS) domain. In this paper, we develop a novel traffic monitoring system based on N-LBP algorithm, which is the new LBP...
In EPCglobal Class 1 Generation 2 standard (rev.2), XPC's specific bits are used to extend tag facilities. However, it states that currently corresponding bits cannot be used for any company/individual's purpose. This paper proposes a new steganographic technique to add new functionalities while conforming to EPCglobal Class Generation-2 standard. This method is to detect the additional 8 bits message...
The present work proposes a new strategy to analyze videos which incorporates viewer's interest to the studies of video content in the selection for intra-coded frames. This new approach studies the low-level video features to extract commonly browsed frames to enable random access while avoiding the overhead in transmitting periodic intra-coded frames. A tri-step process is proposed, where the first...
SIFT (scale invariant feature transform) is an important local invariant feature descriptor. Since its expensive computation, SURF (speeded-up robust features) is proposed. Both of them are designed mainly for gray images. However, color provides valuable information in object description and matching tasks. To overcome the drawback and to increase the descriptor's distinctiveness, this paper presents...
In this paper, we present a robust implementation of multi-face tracker using joint feature model, Kalman filter-based mean-shift and speeded-up robust features (SURF), which can tolerate interference caused by objects of similar color, partial occlusion, total occlusion, rotation and scale change. The joint feature model for each person combines the non-parametric distribution of colors in the face...
We propose a novel relative orientation feature (ROF) to represent the contour or skeleton of a two-dimensional object. With the aid of ROF, the shapes of two objects with fine structures can be compared. Matching with ROF is invariant with respect to translation, rotation and scaling transforms. Experimental results on hand gesture recognition demonstrate the effectiveness and efficiency of ROF with...
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