SAIL LABS Technology AG (Sail Labs), a leader in the field of Speech Technology, today announced the availability of Version 3 of its award-winning Media Mining Server. Media Mining Server 3 provides 3 times better performance and many new features which enhance usability and customer value.
Media Mining Server 3 is a full-featured server for multimedia data. Using metadata generated automatically by the award-winning SAIL LABS Media Mining Indexer, Media Mining Server allows users to employ search methods used for standard text retrieval on audio and video content.
For our enterprise customers, we made Media Mining Server 3 compatible with the Oracle® Database and specifically tuned Media Mining Server for high performance. We base our software on platform-independent open standards like XML and Enterprise Java Beans.
Media Mining Server 3 is designed for ease of use and low cost of ownership while adding important features which allow the user to access multi-lingual content. We have added translation of topics for cross-lingual search and presentation of content descriptors in multiple languages. Using the newly introduced powerful “keyword translation” feature, you can look at broadcasts in e.g. Chinese and still get an impression of the content by viewing a word by word translation of the most important (content bearing) words while viewing the video and listening to the audio.
Media Mining Server also supports advanced personalisation features. It can remember each user’s personal search queries and allows you to retrieve results based on your personal queries by one click of the mouse.
The new notification feature can be used to have Media Mining Server filter incoming News by personalised search queries and automatically notify you about “Breaking News” of interest whenever they occur – 24 hours a day, 7 days a week.
Media Mining Server is completely based on XML input and output formats, using HTTP as a transport protocol. Version 3 takes this model one step further and allows rendering of XML to the client desktop. This saves bandwidth on the network as well as improves scalability to a larger number of client workstations using the same amount of server resources.
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