By Ernesto Damiani, Kokou Yetongnon, Richard Chbeir, Albert Dipanda

Show description

Read or Download Advanced Internet Based Systems and Applications: Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, ... Applications, incl. Internet Web, and HCI) PDF

Best applied mathematicsematics books

Complete Idiot's Guide to Tax-Free Investing

An individual who does not are looking to quit the lion's proportion of gains and source of revenue to Uncle Sam-- people with or with out 401(k) and pensions, the self-employed and employee bees, owners and renters. .. the record is going on and on.

Handbook of Mathematical Fluid Dynamics : Volume 2

The guide of Mathematical Fluid Dynamics is a compendium of essays that gives a survey of the foremost subject matters within the topic. every one article strains advancements, surveys the result of the earlier decade, discusses the present country of information and provides significant destiny instructions and open difficulties. wide bibliographic fabric is equipped.

Additional resources for Advanced Internet Based Systems and Applications: Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, ... Applications, incl. Internet Web, and HCI)

Example text

More recent approaches use classification rules from low/mid level features, according to a predefined ontology of the content domain. In [3], an ontology infrastructure for semantic annotation of objects in car racing and football sports video is presented. [2] presents an annotation engine that uses reasoning algorithms to automatically annotate and retrieve events in football video. A rule-based system for automatic annotation of videos is presented in [5]. Despite the number of existing efforts, the problem of comprehensively discerning multimedia genres has not been completely solved yet.

A fuzzy class is a collection of fuzzy entities having some similar properties. Fuzziness is thus induced whenever an entity verifies only (partially) some of these properties. We denote by XK = {p1 , p2 , · · · , pn }, n ≥ 1, the set of these properties for a given fuzzy class K. XK is called the extent of fuzzy class K. The extent properties may be derived from the attributes of the class and/or from common semantics. The degree to which each of the extent properties determines fuzzy class K is not the same.

The central point of our theory is the concept of Programme Unit. The Programme Unit is a semantically closed entity identifiable during the fruition of a multimedia event. A Programme Unit either exists independently or is included into a more general one. For example, each topical part of a talk show is a Programme Unit, because it defines a semantically complete entity (thus completely understandable by the users) belonging to the main programme (thus contained into a programme at a higher level of representation).

Download PDF sample

Rated 4.45 of 5 – based on 34 votes