The paper attempts to present an information extraction approach in terms of image segmentation based on an object-oriented algorithm for high-resolution remote sensing images. The hierarchy frame and multi-features of the remote sensing image understanding and processing method are put forward. Firstly we extract various internal features of relatively homogeneous primitive objects using an im...

Detecting cars in large aerial photographs can be quite a challenging task, given that cars in such datasets are often barely visible to the naked human eye. Traditional object detection algorithms fail to perform well when it comes to detecting cars under such circumstances. One would rather use context or exploit spatial relationship between different entities in the scene to narrow down the ...

Frequent and accurate object detection based on remote sensing images is an encouraging approach for monitoring dynamic of the interest earth surface. Transformer-based was recently developed to cope with trade-off dilemma between large computation load accuracy sacrifice confronted by region-proposal-based regression-based detection, its self-attention mechanism can provide a global understand...

This paper proposes methods for designing, tracking and coding hierarchical 2D content-based mesh representations. The design procedure consists of constructing a ne-to-coarse hierarchy of Delaunay meshes, using image-and shape-based criteria for mesh geometry simpliication. Hierarchical tracking employs a coarse-tone strategy with mesh-based motion vector optimization. We introduce new techniq...

Reducing the number of colors in an image while preserving its quality, is of importance in many applications such as image analysis and compression. It also decreases memory and transmission bandwidth requirements. Moreover, classification of image colors is applicable in image segmentation and object detection and separation, as well as producing pseudo-color images. In this paper, the Kohene...

Template matching is a well-proven approach in the area of articulated object tracking. Matching accuracy and computation time of template matching are essential and yet often conflicting goals. In this paper, we present a novel, adaptive template matching approach based on the silhouette area of the articulated object. With our approach, the ratio between accuracy and speed simply is a modifia...

Template matching is a well-proven approach in the area of articulated object tracking. Matching accuracy and computation time of template matching are essential and yet often conflicting goals. In this paper, we present a novel, adaptive template matching approach based on the silhouette area of the articulated object. With our approach, the ratio between accuracy and speed simply is a modifia...

We present a two-step method to speed-up object detection systems in computer vision that use support vector machines as classi ers. In the rst step we build a hierarchy of classi ers. On the bottom level, a simple and fast linear classi er analyzes the whole image and rejects large parts of the background. On the top level, a slower but more accurate classi er performs the nal detection. We pr...

Many multimedia applications require retrieval of spatially similar images against a given query image. Existing work on image retrieval and indexing either requires extensive low-level computations or elaborate human interaction. In this paper, we introduce a new symbolic image representation technique to eliminate repetitive tasks of image understanding and object processing. Our symbolic ima...