Results 211 to 220 of about 2,797,527 (262)
Some of the next articles are maybe not open access.
Hierarchical Regions of Interest
2018 19th IEEE International Conference on Mobile Data Management (MDM), 2018Mining crowd-sourced movement trajectories is a useful tool in urban computing. Common mobility patterns of the visitors or residents of a city can be exploited in applications such as disaster management, transportation planning and ad placement. In recommendation systems, individual behaviour is of special interest.
Priit Järv, Tanel Tammet, Marten Tall
openaire +1 more source
Lossless region of interest coding
Signal Processing, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David Nistér +1 more
openaire +6 more sources
Region of Interest and Multiresolution for Volume Rendering
IEEE Transactions on Information Technology in Biomedicine, 2008Medical image interpretation is facing an important challenge resulting from the continuously increasing amount of imaging data. Innovations in medical image visualization are necessary to assist the radiologist in interacting and navigating effectively large multidimensional imaging sets.
Sébastien Piccand +2 more
openaire +2 more sources
Chaotic Image Encryption of Regions of Interest
International Journal of Bifurcation and Chaos, 2016Since different regions of an image have different importance, therefore only the important information of the image regions, which the users are really interested in, needs to be encrypted and protected emphatically in some special multimedia applications.
Di Xiao 0001 +3 more
openaire +1 more source
Normalized Matting of Interest Region
2013In this paper, we present an improved method of current closed-form solution for digital image matting. This method, which we call ‘normalized matting of interest region’, adopt the normalized cut technique where the objective function is normalized with the total degree of color similarities of foreground region.
Jaehwan Kim, Il-Kwon Jeong
openaire +1 more source
Unsupervised Detection of Mammogram Regions of Interest
2007We present an unsupervised method for fully automatic detection of regions of interest containing fibroglandular tissue in digital screening mammography. The unsupervised segmenter is based on a combination of several unsupervised segmentation results, each in different resolution, using the sum rule.
M. HAINDL, S. MIKES, SCARPA, GIUSEPPE
openaire +3 more sources
Description of Interest Regions
2011Detection and description of interest regions is of great interest in many applications of computer vision. This chapter introduces a method for interest region description using center-symmetric local binary patterns (CS-LBP). The CS-LBP descriptor combines the advantages of the well-known SIFT descriptor and the LBP operator. It performed better than
Matti Pietikäinen +3 more
openaire +1 more source
Region-of-Interest Optimization for Deep-Learning-Based Breast Cancer Detection in Mammograms
Applied Sciences (Switzerland), 2023Trung Nghia Tran +2 more
exaly
European Regions and Their Interests
2018Trobbiani provides a concise overview of regional lobbying vis-a-vis EU institutions, analysing the nature of regional interest in Brussels, its organizational modes and channels of expression. Based on a brief assessment of the rationale and evolution of the phenomenon, the author focuses on recent developments, underlining two interrelated aspects ...
openaire +1 more source