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Temporal video segmentation is the "rst step towards automatic annotation of digital video for browsing and retrieval. This article gives an overview of existing techniques for video segmentation that operate on both uncompressed and compressed video stream. The performance, relative merits and limitations of each of the approaches are comprehensively(More)
An adaptive nonuniform sampling technique for alias-free image representation is presented. It is both fast, thanks to the use of pseudo-Poisson disks (PPDs), and eeective, because a higher sample density is used in areas which are rich in details; these zones of the image are located using a skewness-based operator, which is both simple and accurate, and(More)
Shoeprints found on the crime scene are useful to understand the crime dynamics. Several semi-automatic and automatic systems have already been proposed to identify the make and model of the shoe that left the mark on the crime scene, however these systems have been tested on simulated shoe marks, i.e. not coming from real crimes scene but artificially(More)
Shoe marks found on the crime scene are invaluable for the identification of the culprit when no other piece of evidence is available. Thus semi-automatic and automatic systems have been recently proposed to find the make and model of the footwear that left the shoe marks. The systems proposed up to now have two main drawbacks, as they (i) are generally not(More)
A novel irregular and nonuniform sampling scheme for image data is presented in this paper. Its main characteristics are the particular distribution of the samples along image edges and in textured areas, which is obtained following a multiresolution approach, and the low computational complexity. As an example of application, an image coding system is(More)
We present a new method for shot boundaries detection and classification that operates directly on the MPEG compressed video. It is based only on the information about the macroblock coding mode in P and B frames. In order to maintain good accuracy while limiting complexity, the system follows a two-pass scheme and has a hybrid rule-based/neural structure.(More)