COMMERCIAL METADATA APPROACH BY ANDREA DE POLO (ALINARI)

Generation semantic metadata Feature extraction Image capture Gathering contextual data Tagging based on folksonomies Georreference data Time Date User name Name of the place Setting Object name Weather CREATION Island Water Beach Location: San Sebastian Asset: Bay Setting: outside ENGINEERIN G Search and retrieval Presentation Pictures of the Bay of San Sebastian in good weather? Personalization Demographic data Interests Background PROSUM

COMMERCIAL METADATA APPROACH 1.IMPORTANTANCE TO SEARCH AND RETRIEVE CONTENT (TEXT, VIDEO, STILL IMAGES, ETC.) IN THE MOST PRECISE AND EFFICIENT WAY 2.IMPORTANCE TO BALANCE PROPRIETARY TECHNOLOGIES WITH OPEN SOURCE/FREE FOR USE WEB TENDECY 3.IMPORTANCE TO IMPLIMENT A SOLUTION THAT MEET THE FOLLOWING CRITERIAS: RELIABLE EASY TO USE/MAINTAIN/UPGRADEABLE AND SCALABLE INTEROPARABLE EASY TO BE SHARED/HARMONIZED TO OTHER SOLUTIONS…

OPERATING SYSTEMS: WHAT MICROSOFT, APPLE AND UNIX ARE DOING METADATA SUPPORT WITHIN OS: APPLICATION OR OS DRIVEN? APPLE AND MS TENDS OBVLIOUSLY TO DRIVE METADATA STANDARDS TOWARD THEIR API/EXTENSIONS/PROPR. SOLUTION PROBLEM: EVERYONE TRY TO DRIVE METADATA TOWARD THEIR OWN FRAMEWORK=RISK FOR LOOSING DATA CONTROL/INPUT PERSONALIZATION PROBLEM

APPLICATION APPROACH ADOBE LIGHROOM APPLE APERTURE MICROSOFT EXPRESSION MEDIA (IVIEW MEDIA) PROBLEM: HARDLY THOSE APPLICATIONS TALK TO EACH OTHER. AS RAW FILE LESSON, RISK FOR COMPATIBILITY BETWEEN METADATA INFO BETWEEN DIFFERENT APPLICATIONS

DB APPROACH MICROSOFT SQL SERVER SYBASE ORACLE INFORMIX VIRAGE MYSQL POSGRES 4TH DIMENSION PROBLEM: METADATA SUPPORT ACROSS DB’S

HW APPROACH DIGITAL CAMERAS SCANNERS ANY SORT OF OTHER CAPTURE DEVICE PROBLEM: MOST HW DO NOT SUPPORT PERSONALIZATION OF METADATA. CANNOT COSTUMIZED INFO, ADD FIELDS BESIDE WHAT IS AVAILABLE….

HW APPROACH DIGITAL CAMERAS SCANNERS ANY SORT OF OTHER CAPTURE DEVICE PROBLEM: MOST HW DO NOT SUPPORT PERSONALIZATION OF METADATA. CANNOT COSTUMIZED INFO, ADD FIELDS BESIDE WHAT IS AVAILABLE….

MULTILANGUISM PROBLEM AND SEARCH OF CONTENT ACROSS DISTRIBUTED PHOTOGRAPHIC CONTENT REPOSITORIES LANGUAGE PROBLEM QUALITY TRANSLATION: OK MACHINE FOR KEYWORDS, MANUAL FOR SENTENCES COMPLEXITY TO ACCESS, SEARCH AD RETRIEVE CONTENT FROM ONE ACCESS GATEWAY TO SEVERAL CONTENT SUPPLIERS

Text module: It represents a single point of access to various and multilingual sources of information. It provides a unique answers set automatically ranked by relevance order. This requires that content have previously indexed : An Italian speaking user will be able to query all these sites thanks to one single question in his mother tongue. He can use keywords or Natural Language query. This is a cross-lingual feature used to locate relevant information. It uses Linguistic and Semantic algorithms and resources. It cannot be used to obtain a translation of keywords or captions. The user will get relevant images with original keywords and captions. This unique feature avoids having to translate keywords and captions. Commercial solutions? New Phenix (France) and others around the corner…