Video search 63
downloaded with good definition, it’s edited and reproduced. [5]
Design and algorithms
Video search has evolved slowly through several basic search formats which exist today and all use keywords. The
keywords for each search can be found in the title of the media, any text attached to the media and content linked
web pages, also defined by authors and users of video hosted resources.
Some video search is performed using human powered search, others create technological systems that work
automatically to detect what is in the video and match the searchers needs. Many efforts to improve video search
including both human powered search as well as writing algorithm that recognize what's inside the video have meant
complete redevelopment of search efforts.
It is generally acknowledged that speech to text is possible, though recently Thomas Wilde, the new CEO of
Everyzing, acknowledged that Everyzing works 70% of the time when there is music, ambient noise or more than
one person speaking. If newscast style speaking (one person, speaking clearly, no ambient noise) is available, that
can rise to 93%. (From the Web Video Summit, San Jose, CA, June 27, 2007).
Around 40 phonemes exist in every language with about 400 in all spoken languages. Rather than applying a text
search algorithm after speech-to-text processing is completed, some engines use a phonetic search algorithm to find
results within the spoken word. Others work by literally listening to the entire podcast and creating a text
transcription using a sophisticated speech-to-text process. Once the text file is created, the website lets you search the
file for any number of search words and phrases.
It is generally acknowledged that visual search into video does not work well and that no company is using it
publicly. Researchers at UC San Diego and Carnegie Mellon University have been working on the visual search
problem for more than 15 years, and admitted at a "Future of Search" conference at UC Berkeley in the Spring of
2007 that it was years away from being viable even in simple search.Popular video search engines
Agnostic search
Search that is not affected by the hosting of video, where results are agnostic no matter where the video is located:
- AltaVista Video Search had one of the first video search engines with easy accessible use. Is found on a direct
link called "Video" off the main page above the text block.[Since 2 February 2009 this feature has not been
available from Altavista.com] - blinkx was launched in 2004 and uses speech recognition and visual analysis to process spidered video rather
than rely on metadata alone. blinkx claims to have the largest archive of video on the web and puts its collection
at around 26,000,000 hours of content. - CastTV is a Web-wide video search engine that was founded in 2006 and funded by Draper Fisher Jurvetson,
Ron Conway, and Marc Andreessen. - Clipta is a deep crawling video search engine that indexes millions of videos from across the Internet. Clipta was
founded and launched in 2008. - Munax released their first version all-content search engine in 2005 and powers both nation-wide and worldwide
search engines with video search. - Picsearch Video Search has been licensed to search portals since 2006. Picsearch is a search technology provider
who powers image, video and audio search for over 100 major search engines around the world. - ScienceStage is an integrated universal search engine for science-oriented video (lectures, conferences,
documentaries, webinars, tutorials, demonstrations, grand rounds, etc.). All videos are also semantically matched
to millions of research documents from open-access databases.