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Real Time Scene Segmentation of Video Data Using Histogramming Analisys

This project addresses the problem of Real Time Scene Segmentation of video data. It involves the study of a method to automatically segment a video, recognise scene changes and collect a sequence of representative images that can ‘tell’ the story of the whole video footage.

The problem of scene segmentation has been developed using histogramming analysis. Various distance metrics has been investigated in order to obtain an intensity shift tolerant measure of scene change. This analysis has resulted in the development of a distance metric based on the vectorial distance between a geometric representation of consecutive histogram. The scene changes are detected using a window averaging threshold on the distance values in the sequence.

The feasibility of the adopted method for real-time segmentation has been studied in terms of speed and accuracy of the analysis process.

The method has been implemented with a graphic interface in order to obtain a powerful and flexible tool for scene segmentation analysis.

Mostra/Nascondi contenuto.
Chapter 1: Introduction _________________________________________________________________________________________________________ 1 CHAPTER 1: INTRODUCTION Combining images, sound, motion video sequences are a rich source of information used in numerous capacities. The demand for digital video is widening in many areas such as video conferencing, multimedia authoring systems, education, training, "movie-on-demand" for in-home use, etc ... The technologies which have been developed to transmit, store and access alphanumeric data DBMS ( Data Base Management System ) are used in a wide variety of application. The data acquisition process in typical alphanumeric databases rely primarily on a user to type in data. Similarly, past visual databases have provided keyword descriptions of the visual data, so data entry did not vary much from the original alphanumeric system. In many cases, however, these old visual systems have many drawbacks, such as inadequate choice of keywords to use in a query, the context in which the words are used, and the influence of the operator during the construction of the database. The new era in Information System Design is IDBMS ( Image Data Base Management System ). It is an efficient, flexible and robust system for handling image data. For IDBMS the data is characterised by features which allows query by image content rather than dependent on selected keywords. The goal of this technique is to

Tesi di Laurea

Facoltà: Ingegneria

Autore: Fabio Sala Contatta »

Composta da 100 pagine.

 

Questa tesi ha raggiunto 798 click dal 20/03/2004.

Disponibile in PDF, la consultazione è esclusivamente in formato digitale.