The Age of Video Big Data
The term "Video Big Data" is rarely heard of. The reasons are pretty simple:
It's difficult to extract data from videos
It's even more difficult making sense of unstructured video data
Therefore, it is not an understatement to say that video is the most difficult medium to search and extract intelligence from. However, given the amount of videos are that generated daily in the public domain (e.g. YouTube) and private domain (e.g. broadcasters, CCTV, education, etc.), it is also not an understatement to say that video is the King of Content.
The objective of Big Data is to gain Business Intelligence. Video Big Data is no different. The obvious difference is the source and the type of data that can be extracted out from videos.
This Video Big Data Whitepaper aims to explain how we can extract value and intelligence from videos with a 3 step approach:
Extract video data
Transform unstructured video data
Analyse to data into intelligence
With this whitepaper, we hope to share some of our knowledge and experiences working with Video Big Data. From our calculations, we estimate that Video Big Data will dwarf Big Data as we know it. Thus, the importance of this whitepaper. We hope you enjoy and benefit from it!
The above is the typical process how we extract and transform videos into business intelligence using Video Big Data.