VOVALEAD: a scalable video search engine based on content

Most news organizations provide immediate access to topical news broadcasts through RSS streams or podcasts. Until recently, applications have not permitted a user to perform content based search within a longer spoken broadcast to find the segment that might interest them. Recent progress in both automatic speech recognition (ASR) and natural language processing (NLP) has produced robust tools that allow us to now provide users with quicker and more focused access to relevant segments of news broadcast videos. Our public online demonstrator of the Voxalead application currently indexes daily broadcast news content from 50 sources in English, French, Chinese, Arabic, Spanish, Dutch, Italian and Russian.