Multimedia Tools and Applications – LIT
LIT: transcription, annotation, search and visualization tools for the Lexicon of the Italian Television
LIT (Lexicon of the Italian Television) is a project conceived by the Accademia della Crusca, the leading research institution on the Italian language, in collaboration with CLIEO (Center for theoretical and historical Linguistics: Italian, European and Oriental languages), with the aim of studying frequencies of the Italian vocabulary used in television. Approximately 170 hours of random television recordings acquired from the national broadcaster RAI (Italian Radio Television) during the year 2006 have been used to create the corpus of transcriptions. The principal outcome of the project is the design and implementation of an interactive system which combines a web-based video transcription and annotation tool, a full featured search engine, and a web application for data visualization with text-video syncing. Furthermore, the project is currently under deployment as a module of the larger national research funding FIRB 2009 VIVIT (Fondo di Investimento per la Ricerca di Base, Vivi l'Italiano), which will integrate its achievements and results within a semantic web infrastructure.
ACM Multimedia 2009 – Sirio
In this technical demonstration we show a web video search engine based on ontologies, the Sirio system, that has been developed within the EU VidiVideo project. The goal of the system is to provide a search engine for videos for both technical and non-technical users. In fact, the system has different interfaces that permit different query modalities: free-text, natural language, graphical composition of con- cepts using boolean and temporal relations and query by visual example. In addition, the ontology structure is ex- ploited to encode semantic relations between concepts per- mitting, for example, to expand queries to synonyms and concept specializations.
ACM Multimedia 2009 – Arneb
In this technical demonstration we show the current version of Arneb, a web-based system for manual annotation of videos, developed within the EU VidiVideo project. This tool has been developed with the aim of creating ground truth annotations, that can be used for training and evalu- ating automatic video annotation systems. Annotations can be exported to MPEG-7 and OWL ontologies. The system has been developed according to the Rich Internet Applica- tion paradigm, allowing collaborative web-based annotation.



















