Our aim is to establish accurate correspondences between temporal mammograms in order to improve the detection of tumours. We propose a method for detecting abnormalities after aligning a pair of mammograms using thin-plate spline interpolation based on corresponding points on the breast boundary. We also suggest a method for the automatic detection of landmarks within the breast tissue. We sho...

This paper focus on the study of the motion activity descriptor for shot boundary detection in video sequences. We interest in the validation of this descriptor in the aim of its real time implementation with reasonable high performances in shot boundary detection. The motion activity information is extracted in uncompressed domain based on adaptive rood pattern search (ARPS) algorithm. In this...

This year, the joint team of UCF and the University of Modena has participated in the following tasks: (1) shot boundary detection, (2) low-level feature extraction, (3) high-level feature extraction, (4) topic search and (5) BBC rushes management. The shot boundary detection was contributed by the Image Lab at the University of Modena. The other tasks were performed by the Computer Vision Team...

We study the problem of video shot boundary detection using an adaptive edge-oriented framework. Our approach is distinct in its use of multiple multilevel features in the required processing. Adaptation is provided by a careful analysis of these multilevel features, based on shot variability. We consider three levels of adaptation: at the feature extraction stage using locally-adaptive edge ma...

A compact video description is required to efficiently browse a multimedia database. A possible solution is the creation of a summary by using a set of frames (key frames) representing the content of each part of the video. To this end, a novel shot boundary detection method, based on a vector quantization approach, is presented. Experimental results show the effectiveness, in terms of computat...

This paper explores the new methodology of detecting boundaries of the sentence by heuristic method and also classifies it. Automatic true detection of the sentence aids in semantically annotating the web. Sentences formed with URL, ellipsis and abbreviations are focus of the study. High performance features are selected for Classification using C4.5 decision trees and K-Means for clustering wi...

Temporal action detection in long videos is an important problem. State-of-the-art methods address this problem by applying action classifiers on sliding windows. Although sliding windows may contain an identifiable portion of the actions, they may not necessarily cover the entire action instance, which would lead to inferior performance. We adapt a two-stage temporal action detection pipeline ...

Shot-boundary detection is the first step towards scene extraction in videos, which is useful for video content analysis and indexing. In this work, we apply gist and color features to represent the individual frames. Gist [15, 21] has been shown to characterize the structure of images well while being resistant to luminance change and also small translation. Thus, it is ideally suited for our ...