Digitally Transforming GLAM
(Galleries, Libraries, Archives and Museums)

Some problems are so complex today that they can only be solved using AI. This certainly applies to what many consider to be the last frontier in Search technology - Audio Visual Media.

By using a combination of AIs (like speech and face recognition), Videospace unlocks hundreds and thousands of hours of knowledge within your media libraries by making them accessible and discoverable.

With the World's First Translated Video Search, we can further unleash the full potential of your media library by making them searchable in other languages! Extending its accessibility and discover-ability!


 
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Discovery
Unlocking Your Media Library

Many consider videos to be the last frontier in Search Engine technology. The reason is because video is the most difficult format to search. Firstly, due to the number of data elements inside a video – speech, faces, objects, emotions, etc. Secondly, because video data runs in a time-series, meaning different data element appears during different times within a video.

For these reasons, indexing different video elements require different types of A.I. (e.g. Speech-to-Text AI for speech, Facial Recognition AI for faces, etc.) in time series. Thus, it takes a different type of search engine to search videos, to unlocking the knowledge in your media library.


 
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Accessibility
Overcoming the Language Barrier

Knowledge is bounded by two barriers – Location and Language. If knowledge is located in a hard disk drive, then it would be impossible to access that knowledge. But the internet is changing that as more knowledge is being online. However, knowledge is locked by a bigger barrier – language. If you do not understand the language that knowledge is in, even if it is presented in front of you, you will not understand it. That is why translation is so important in improving accessibility.

Now imagine your media library being indexed and searched in multiple languages, taking accessibility to a whole new level. That is exactly what our World's First Translated Search Engine is built for.