Sciweavers

272 search results - page 35 / 55
» A Novel Clustering-Based Method for Adaptive Background Segm...
Sort
View
103
Voted
TCSV
2002
139views more  TCSV 2002»
14 years 9 months ago
Localizing and segmenting text in images and videos
Many images--especially those used for page design on web pages--as well as videos contain visible text. If these text occurrences could be detected, segmented, and recognized auto...
Rainer Lienhart, Axel Wernicke
92
Voted
CVPR
2011
IEEE
14 years 4 months ago
Learning Temporally Consistent Rigidities
We present a novel probabilistic framework for rigid tracking and segmentation of shapes observed from multiple cameras. Most existing methods have focused on solving each of thes...
Jean-Sebastien Franco, Edmond Boyer
CVPR
2009
IEEE
16 years 2 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
111
Voted

Publication
400views
14 years 4 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...
BMCBI
2010
116views more  BMCBI 2010»
14 years 9 months ago
SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments
Background: High throughput sequencing has become an increasingly important tool for biological research. However, the existing software systems for managing and processing these ...
David B. Burdick, Christopher C. Cavnor, Jeremy Ha...