Beyond linear and kernel-based feature extraction, we propose in this paper the generalized feature extraction formulation based on the so-called Graph Embedding framework. Two novel correlation metric based algorithms are presented based on this formulation. ...

Keywords: Machine learning, Face and gesture recognition, Geometric

This paper studies the problem of recognizing gender from full body images. This problem has not been addressed before, partly because of the variant nature of human bodies and clothing that can bring tough difficulties. However, gender recognition has ...

Keywords: gender recognition, human body

The explosive growth of video content in recent years fueled by the technological leaps in computing and communication has created new challenges for video content analysis that can serve applications in video surveillance, video searching and mining. ...

Keywords: human action recognition, video analysis, video understanding

Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion techniques simply concatenate a pair of different features or use canonical ...

Keywords: canonical correlation, face recognition, feature fusion, image set, subspace learning, tensor

Subspace and similarity metric learning are important issues for image and video analysis in the scenarios of both computer vision and multimedia fields. Many real-world applications, such as image clustering/labeling and video indexing/retrieval, involve ...

Keywords: Dimensionality reduction, Image and video retrieval, Locally adaptive retrieval, Locally embedded analysis, Locally embedded clustering, Manifold, Similarity matching, Subspace learning, Visual clustering

Emotive audio-visual avatars have the potential of significantly improving the quality of Human-Computer Interaction (HCI). In this paper, the various technical approaches of a novel framework leading to a text-driven 3D Emotive Audio-Visual Avatar (EAVA) ...

Precise 3D pose estimation plays a significant role in developing human-computer interfaces and practical face recognition systems. This task is challenging due to the personality in pose variation for a certain subject. In this work, the pose data space ...

Keywords: Person-Independent Pose Estimation, Subspace Learning

Learning discriminative subspaces for multimodality image analysis has been an extensively discussed topic over the past several decades in interdisciplinary fields. It has attracted much attention recently due to the increasing demand for developing ...

A novel head tracking driven camera mouse system, called "hMouse", is developed for manipulating hand-free perceptual user interfaces. The system consists of a robust real-time head tracker, a head pose/motion estimator, and a virtual mouse control module. ...

Currently, Internet hosting centers and content distribution networks leverage statistical multiplexing to meet the performance requirements of a number of competing hosted network services. Developing efficient resource allocation mechanisms for such ...

Keywords: Zipf-Mandelbrot law, file life span, media access patterns, modeling, non-stationary popularity, streaming media server workload, synthetic workload generator, temporal and static properties