We present the first comprehensive, open source multimedia knowledge extraction system
that takes a massive stream of unstructured, heterogeneous multimedia data from various …

Abstract Knowledge Graphs (KG) are becoming essential to organize, represent and store
the world's knowledge, but they still rely heavily on humanly-curated structured data …

We propose a concise representation of videos that encode perceptually meaningful
features into graphs. With this representation, we aim to leverage the large amount of …

The significance of the Knowledge Graph (KG) is rising across various industries. A KG is a
powerful tool used to manage knowledge from vast amounts of resources effectively. In this …

We present an online multilingual system for event detection and comprehension from
media feeds. The system retrieves information from news sites, aggregates them into events …

Video tag recommendation is not just necessary but also mandatory in the present-day
scenario where multimedia content specifically videos are trending and becoming viral on …

In the last years, scientific and industrial research has experienced a growing interest in
acquiring large annotated data sets to train artificial intelligence algorithms for tackling …

We present an automatic generation pipeline of interactive nonlinear video for online
apparel shop** navigation. Our approach was inspired by Google's “Messy Middle” …

The development of efficient methods for searching and browsing large assets of video
content has been considered by the academia and content owners for long. Different …

The multimedia content published on the World Wide Web is constantly growing and
contains valuable information in various domains. The Internet Archive initiative has …