Image mining refers to a data mining technique where images are used as data. It supports
a large field of applications like medical diagnosis, agriculture, industrial work, space …

Nowadays, large amounts of high resolution remote-sensing images are acquired daily.
However, the satellite image classification is requested for many applications such as …

Image retrieval is a challenging problem in computer vision domain. Traditional content
based image retrieval (CBIR) systems were built to retrieve images based on low level …

E-commerce is the platform where it provisions the online businesses for selling and buying.
Organizing and searching for products is a cumbersome process for service providers and …

There is considerable interest in the use of wireless sensor networks (WSNs) for distributed
sound capture and acoustic source localisation (ASL) where array elements are spaced …

在基于内容的图像检索中, 提取颜色, 纹理, 形状或空间信息等底层特征是目前最常用且简便的
表征图像的方法. 但使用单一底层特征容易忽视特征间的相互联系, 无法对图像以各种形式提供 …

Video surveillance is one of the most data intensive applications. A typical video
surveillance system consists of one or multiple video cameras, a central storage unit, and a …

The paper presents basic concepts of augmented reality applications and challenges in
building them in the web. We describe the technical and algorithmic stack required to …

Vision-based place recognition is of a particular importance for autonomous systems that
aim to navigate intelligently in a human-inhabited environment. Given a topological map of …

Since traditional relevance feedback content based image retrieval (CBIR) methods need
several rounds of search, in this paper we put forward an analogy-relevance feedback …