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.
To evaluate motion sensing technologies capable of collecting data that supports the analysis of workers in manufacturing environments, we developed a procedure to categorize manufacturing processes and many motion sensing technologies. Processes were decomposed into: resolution of movements, amount of noise, and detection difficulty; sensors were decomposed into: sensitivity, noise-cancellation capability,...
In this paper, we present an effective approach to locate scene text in images based on connected components analysis (CCA). Our approach first utilizes a multi-scale adaptive local thresholding operator to convert an image into two complementary binary images. Then, connected components (CCs) are extracted from both of them, which ensures that bright or dark text in contrast to background can be...
This paper presents an effective and efficient approach to extracting captions from videos. The robustness of our system comes from two aspects of contributions. First, we propose a novel stroke-like edge detection method based on contours, which can effectively remove the interference of non-stroke edges in complex background so as to make the detection and localization of captions much more accurate...
Captions in videos play a significant role for automatically understanding and indexing video content, since much semantic information is associated with them. This paper presents an effective approach to extracting captions from videos, in which multiple different categories of features (edge, color, stroke etc.) are utilized, and the spatio-temporal characteristics of captions are considered. First,...
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.