Defect detection in images is a current task in quality control and is often integrated in partially or fully automated systems. Assessing the performances of defect detection algo...
Yann Le Meur, Jean-Michel Vignolle, Jocelyn Chanus...
A Bayesian probability-based vanishing point detection algorithm is presented which introduces the use of multiple features and training with ground truth data to determine vanish...
In image retrieval, most systems lack user-centred evaluation since they are assessed by some chosen ground truth dataset. The results reported through precision and recall assess...
We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and qu...
Bryan C. Russell, Antonio Torralba, Kevin P. Murph...
We present a psycho-visual and analytical framework for automatic measurement of motion activity in video sequences. We construct a test-set of video segments by carefully selecti...
Kadir A. Peker, Ajay Divakaran, Thomas V. Papathom...
This paper describes the development of a ground truth dataset of culturally diverse Romanized names in which approximately 70,000 names are matched against a subset of 700. We ra...
We discuss problems in developing policies for ground truthing document images for pixel-accurate segmentation. First, we describe ground truthing policies that apply to four diff...
While research on scientific chart recognition is being carried out, there is no suitable standard that can be used to evaluate the overall performance of the chart recognition res...
Text detection and tracking is an important step in a video content analysis system as it brings important semantic clues which is a vital supplemental source of index information....
Over the past two decades a significant number of layout analysis (page segmentation and region classification) approaches have been proposed in the literature. Each approach has b...