Expressing Multimedia Content Using Semantics—A Vision

Jeremy Debattista, Fahim A Salim, Fasih Haider, Clare Conran, Owen Conlan, Keith Curtis, Wang Wei, Ademar Crotti Junior, Declan O'Sullivan

Research output: Contribution to conferencePaper

Abstract / Description of output

The introduction of streaming and VoD platforms such as Netflix, Hulu, and Youtube, has presented the film industry with a new way for how they can deliver their product to their audience. This has seen a rise in online videos and subsequently has made it harder for viewers to discover the right visual content for them. Traditional video search tools enable users to find visual content based on various metadata fields, such as genre or title, however, this information might not accurately represent the actual content in the movie. In this position paper we describe our idea of leveraging the richness of semantic technologies to (1) enrich movie metadata, and (2) create meaningful semantically-enriched descriptions of movie scenes using a variety of video and audio processing techniques. This information will enable us to create a Knowledge Graph (KG), which will be interlinked with other KGs available on the Web of Data resulting in a more comprehensive representation of these movies. The KG enables users or agents to search and reason within movies' metadata and scenes using both the implicit and explicit knowledge available in the graph and the interlinked resources, in a federated fashion
Original languageEnglish
Pages302-303
Number of pages2
DOIs
Publication statusPublished - 2018
Event2018 IEEE 12th International Conference on Semantic Computing (ICSC) - Laguna Hills, United States
Duration: 31 Jan 20182 Feb 2018

Conference

Conference2018 IEEE 12th International Conference on Semantic Computing (ICSC)
Country/TerritoryUnited States
CityLaguna Hills
Period31/01/182/02/18

Fingerprint

Dive into the research topics of 'Expressing Multimedia Content Using Semantics—A Vision'. Together they form a unique fingerprint.

Cite this