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In this paper we present a technique for bit-rate reduction in the H263 coder by the introduction of perspective transformation in the advanced prediction option of motion compensation. It is based on the use of the available displacement vectors for estimating the image warping. Since block matching gives not reliable estimates of the warping an adaptive technique discarding inconsistent transformations...
An extremely reduced reference video quality assessment method for video sequences is presented. It is based on the comparison of indices independently calculated for the examined video sequence and for the reference one. The employed metric is based on a cumulative measure of both frame by frame and interframe local edge coherence measures made with pairs of circular harmonic functions.
In this work, we present a technique designed for improving the subjective quality of still and video images presenting lack of sharpness. The technique employs a wavelet image representation based on edges extracted at different resolution levels by smoothed differential operators [1], and makes use of non-linear processing in the multiresolution edge domain. In this contribution, after a concise...
In this work the authors propose a classification method based on Support Vector Machine (SVM) and key frames features extraction to classify historical sport video contents. In the context of the Italian Project, IRMA (Information Retrieval in Multimedia Archives), with the goal to recover and preserve historical videos of proven cultural interest, a data set made up of several hours of videos from...
A novel version of the popular SSIM image quality assessment technique, specifically designed to yield uniform MOS prediction in presence of different types of image distortions is presented. Response equalization is obtained through the polynomial combination of a basic SSIM metric with an auxiliary metric characterized by a diverse sensitivity. Accuracy and consistency of this composite index, called...
In this work a novel technique for representing the edges of an image is presented and the impact of this on image clustering is investigated. The characterization is performed in two steps: the “most important” edges are first selected by using both the Laplace operator and the Laguerre Gauss functions, and then the phase distribution of each edge point is estimated. The similarity is measured by...
In this contribution a procedure of eye detection and localization for biometric applications is presented. It is essentially based on the calculus of two polar moments whose values are employed for detection and localization of pupils. The polar moments are calculated using a bank of mono-dimensional Hermite filters whose outputs can be easily converted to give the local expansion of the analyzed...
A very concise comparison technique for objective image quality assessment is described. The method is based on a angular edge coeherence measure defined by local image expansion into a set of harmonic angular functions. Using the angular edge coherence it is possible to estimate the relative quality of a reproduced image with respect to the original one comparing only the values of a single statistical...
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