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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...
Principal component analysis is the well-known method in pattern recognition, but classical principal component analysis extract some features that keep maximal scatter and the algorithm doesn't use the classificatory information of samples. Therefore, extracted features aren't very efficient to classification based on classical principal component analysis. Based on the image retrieve principle,...
This paper presents a multimodal biometric recognition system integrating palmprint, fingerprint and face based on score level fusion. The feature vectors are extracted independently from the pre-processed images of palmprint, fingerprint and face. The feature vectors of query images are then compared individually with the enrollment templates which are taken and stored during database preparation...
Current researches toward solving personal photo management suffered two problems: (1) lacking of training data, and (2) no consolidated reference for classification. In this paper, we propose an automated annotation framework to address these problems. The framework was composed by three main components: the context information generator, the semantic concept detector, and the face recognition model...
This paper addresses a sub-problem of the broad annotation problem, namely "person annotation", associated with personal digital photo management and investigates approaches to enhancing person annotation in personal photo management applications. We study a number of approaches to enhance the performance of semi-automatic person annotation using real-life personal photo collections as the...
Nowadays a lot of enterprises develop the products collaboratively using heterogeneous CAD systems. Feature based data exchange and interoperation among heterogeneous CAD systems are very important in pervasive computing environments. The key techniques in feature based data exchange are feature retrieval (extraction) and feature reuse (reconstruction). This paper presents a direct approach for feature...
This paper studies face recognition and person-specific face image retrieval in unconstrained environments. The proposed method consists of two parts: offline and online learning. In offline stage, we take advantage of both global and local features in a Bayesian framework for generic face recognition. In online stage, the offline learned classifier is adapted according to the query images of a given...
Emerging video-mining applications such as image and video retrieval and indexing will require real-time processing capabilities. A many-core architecture with 64 small, in-order, general-purpose cores as the accelerator can help meet the necessary performance goals and requirements. The key video-mining modules can achieve parallel speedups of 19times to 62times from 64 cores and get an extra 2.3times...
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