We offer, in this paper, a new method to segment text in natural scenes. This method is based on the use of a morphological operator: the Toggle Mapping. The efficiency of the met...
Jonathan Fabrizio, Beatriz Marcotegui, Matthieu Co...
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
Skew-corrected document images are necessary for subsequent downstream operations such as archiving, printing or improving OCR performance. Image rotation is a necessary and more ...
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...
In this paper, we propose a simple and effective scheme for screen image scaling, targeting at real-time applications like remote desktop and screen sharing. To balance visual qua...
Currently, the bag of visual words (BOW) representation has received wide applications in object categorization. However, the BOW representation ignores the dependency relationshi...
This paper addresses fluorescence diffuse optical tomography (FDOT) reconstruction problem with a priori information. We assume that approximate location of the fluorophore concen...
In this paper, we propose a generic and efficient object detection framework based on two heterogeneous features and demonstrate effectiveness of our method for a cat face detecti...
There are various traditional video watermarking schemes robust to geometrical transformations. Most of them use synchronizing techniques or invariant transforms to resist geometr...
Tae-Woo Oh, Min-Jeong Lee, Kyung-Su Kim, Young-Suk...