Human labeled datasets, along with their corresponding evaluation algorithms, play an important role in boundary detection. We here present a psychophysical experiment that addresses the reliability of such benchmarks. To find better remedies to evaluate the performance of any boundary detection algorithm, we propose a computational framework to remove inappropriate human labels and estimate th...

Level Set Algorithm (LSA) is one of the efficient tools of edge detection and contour extraction, which has been applied to radar, medical, and other images processing successfully. However, the procedure using LSA will cost a lot of time when applied to high-resolution images. This paper provides two novel approaches that can enhance the detection speed. In the first method, the moving step en...

OBJECTIVE To evaluate the waveforms of left atrial area changes obtained by automated boundary detection with newly developed acoustic quantification technology. DESIGN All subjects had measurements of left atrial areas taken in the apical four chamber, parasternal long axis, and parasternal short axis views using both conventional echocardiographic methods and automatic boundary detection on...

With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...

One-class classification has important applications such as outlier and novelty detection. It is commonly tackled using either density estimation techniques or by adapting a standard classification algorithm to the problem of carving out a decision boundary that describes the location of the target data. In this paper we present a simple method for one-class classification that combines the app...

Active contours are used extensively in vision for more than two decades, primarily for applications such as image segmentation and object detection. The vast majority of active contours models make use of closed curves and the few that employ open curves rely on either fixed boundary conditions or no boundary conditions at all. In this paper we discuss a new class of open active contours with ...

We describe a new face detection algorithm based on a hierarchy of support vector classifiers (SVMs) designed for efficient computation. The hierarchy serves as a platform for a coarse-tofine search for faces: most of the image is quickly rejected as ”background” and the processing naturally concentrates on regions containing faces and face-like structures. The hierarchy is tree-structured: In ...

This paper presents a new method for extracting semantic information from basketball video. Our approach consists of three stages: shot and scene boundary detection, scene classification and semantic video analysis for event detection. The scene boundary detection algorithm is based on both visual and motion prediction information. After the shot and scene boundary detection, a set of visual an...

We describe our experiments for the shot boundary detection, high-level feature extraction, search and story boundary detection tasks. In the shot boundary detection task, we employ our proven method based on the calculation of distances between colour histograms of frames over a range of timescales. In the feature detection task we confined our effort to the basketball feature. For the search ...