This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of th...
In this paper, we propose a multiple objective frame rate up conversion algorithm (MOFRUC), which utilizes two different models. The first model is a constant velocity model that ...
Tak-Song Chong, Oscar C. Au, Wing-San Chau, Tai-Wa...
Owing to the great computation complexity of the ME (motion estimation) in video coding, a lot of fast ME algorithms have been proposed in literature. Most of them are designed ba...
Temporal video segmentation is one of the fundamental and essential tasks in video processing, understanding and management. In this paper, we present an automatic method for segm...
The ability of humans for color constancy, i.e. the ability to correct for color deviation caused by a different illumination, is far beyond computer vision performances: nowadays...
We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
An architecture for shape recognition is presented, with emphasis on low-latency and power efficiency. This architecture is an extension of an existing architecture used for moti...
Jason Schlessman, Sankalita Saha, Wayne Wolf, Shuv...
The paper provides insights into our efforts to develop techniques for the analysis of visual art. The AUTHENTIC project aims at creating a collection of software tools to support...
Igor Berezhnoy, Eric O. Postma, H. Jaap van den He...
The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...