IMARS: IBM Multimedia Analysis and Retrieval System
IMARS is a desktop system for automatic indexing, classification, and searching of large collections of digital images and videos.
IBM Multimedia Analysis and Retrieval System (IMARS) is a powerful system that can be used to automatically index, classify, and search large collections of digital images and videos. IMARS works by applying computer-based algorithms that analyze visual features of the images and videos, and subsequently allows them to be automatically organized and searched based on their visual content. In addition to search and browse features, IMARS also:
- Automatically identifies, and optionally removes, exact duplicates from large collections of images and videos
- Automatically identifies near-duplicates
- Automatically clusters images into groups of similar images based on visual content
- Automatically classifies images and videos as belonging or not to a pre-defined set (hereafter called taxonomy) of semantic categories (such as 'Landmark', 'Infant', etc.)
- Performs content-based retrieval to search for similar images based on one or more query images
- Tags images to create user defined categories within the collection
- Performs text based and metadata based searches.
This tool was developed by the IBM T. J. Watson Research Center Multimedia Research team: John R. Smith, Apostol (Paul) Natsev, Jelena Tesic, Lexing Xie, and Rong Yan.
The IMARS extraction tool provides a Windows-based graphical user interface and requires Windows (XP, 2003, Vista). A command-line version is available for Linux.
The IMARS search tool operates along with a Web server using common gateway interface (CGI) to run the IMARS search program. The IMARS search tool also requires Windows (XP, 2003, Vista) for the server machine. A Linux version is also available. The client machine can be any computer that has a Web browser and does not require specific operating system.