Abstract
A new capable content discovery platform based on multimedia data enrichment is presented in this paper. The platform, known as the IMCOP system, refers to the concept of intelligent discovery and delivery of multimedia content. Relevant state-of-the-art solutions are described in detail in the background section. The overall architecture and the main components of the IMCOP system are presented next. An original concept of Complex Multimedia Objects which extend the MPEG-7 standard to hold the processed data and bind it into content related collections is introduced. Selected results of tests illustrating how the IMCOP system performs in terms of responsiveness and stability under a particular workload are reported. Finally, IMCOP’s advantages in reference to other content discovery platforms are discussed and summed up.
Highlights
The volume of data stored in, downloaded from and shared via the Internet is increasing rapidly
The IMCOP platform is a service-oriented architecture with a vast number of specialized web services
The IMCOP system shares certain features with other content discovery platforms, such as searching for connections, related content function and the Solr engine. In contrast to these and other platforms which have limited functionality, the IMCOP platform addresses a range of goals and serves different categories of customers
Summary
The volume of data stored in, downloaded from and shared via the Internet is increasing rapidly. A flexible and efficient representation of data, known as Complex Multimedia Objects (CMO), maintaining the metadata and the content-related connections, is proposed As well as these objectives, the IMCOP project has the following minor goals:. It was agreed between the project partners that the IMCOP system should comply with the Data Enrichment and Engagement Platform (DEEP), which was largely developed by the Israeli partner as part of their project activities.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
