This tool is designed to extract metadata from a wide variety of common file formats, including GIF, JPEG, PDF, MP3, and MS Office (Word, Excel, Powerpoint).
The software system has the ability to automatically extract metadata from images, and add customized metadata to the images in a standardized format.
That is particularly true at a time when the technologies for extracting metadata from legacy documents are improving dramatically, suggesting that a layered, incremental approach might produce great gains in the future.
The technology they are developing lets video producers algorithmically extract metadata from news, shows, movies, and Internet video.
This paper presents new algorithms for extracting metadata from video sequences in the MPEG-2 compressed domain.
When the project is extended to other cities, the researchers plan to extract metadata from photos posted on the Flickr website.
To do so, the company built the technology from the ground up, including servers, the infrastructure technologies and series that extract metadata from the files, allowing them to be searchable.
For each tuple that is randomly chosen to extract metadata from (regarding which of the input filters have dropped it or not), A-greedy also measures the time each filter spends to process that tuple.
That includes the servers themselves, the infrastructure technologies, the services that extract metadata from files and index them, make them searchable, all the way to the framework and technologies the company developed to allow it to quickly write directly to the cloud.
The extracted metadata are standardized and duplicate publications are removed.
