The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Image classification is a general visual analysis task based on the image content coded by its representation. In this research, we proposed an image representation method that is based on the perceptual shape features and their spatial distributions. A natural language processing concept, N-gram, is adopted to generate a set of perceptual shape visual words for encoding image features. By combining...
Image - in today's digital world represented by numerical numbers. These numbers collectively present abstract concepts that is only understood by human perception. In this paper, we propose a novel framework that is more close to human perception of reality to translate the conventional representation of an image. Also, we focus on automating the image representation in terms of a natural language...
Biological vision systems involve complex neural layers that can represent and process information. Moreover, they are typically far more efficient than human-made machine vision systems. To obtain a non-task-dependent image representation schema, it may be valuable to simulate the early phase of the biological neural vision mechanism. We designed a neural model to simulate the non-classical receptive...
Image resizing can be more effectively achieved with a better understanding of image semantics. In this paper, similar patterns that exist in many real-world images. are analyzed. By interactively detecting similar objects in an image, the image content can be summarized rather than simply distorted or cropped. This method enables the manipulation of image pixels or patches as well as semantic objects...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.