Meet the Video Search Engines

Aug 23, 2007 - 8:41 am 0 by

Chris Pierry from Yahoo Video usage is widespread. From News to movies, everyone on the internet has watched videos on the internet.

Content Analysis – Extraction of semantic information form unstructured data types. Page analysis, what is the page about Analysis of the video itself – Flesh tone detection to detect adult content Audio match form a sound track Logo detection object detection Text to Speech

Submit data feeds to Search Engines Enter accurate data descriptions – titles, keywords, abstracts, summaries, close captions Embrace the social web!

Biggest challenges – safe search for adult content and copyright violations

User experience – in-place media consumption, hyperlink – jumping to the appropriate scene. Tags, bookmarks, sharing, commenting. Yahoo can play in page, both video and songs/mp3s

Stephen Baker –from EveryZing (formerly PodZinger) -Core technology of everyzing is speech to text -Problem with video and multimedia content. – crawlers can only see meta data. -If you can view the transcript of the video, it helps the crawlers. -Text Transcript increase Audience Reach, they can help you optimize the page better – tags, content, etc. -Text transcripts can increase Content Access, can help to create better snippets, etc. -Text transcript from Podzinger also help you navigate through a video via keyword mentions or time mentions -Text transcripts can be used for monetizing, by issuing calls for ads relevant to the video

Onil Gunawardana VP of Advertising at Blinkx Indexing – Automated spiders that literally understand audio/video content Agnostic approach – ability to use metadata and closed captioning where it exists. Search and discovery Autonomy-powered conceptual search that acts on phonetic, as well as textual data in parallel CQF – Cluster Query Focus delivers relevance and accuracy In non-linked data world Video Search Engine Types -First generation – metadata, display-oriented spidering (AOL Video, Altavista, Yahoo) -Second generation – speech recognition, visual analysis, video optical character recognition (podzinger, blinkx) -Blinkx SEO Whitepaper –

Peter Tuttle – Turveo (AOL company) First wave of improvement for video was in 2004, 2005 2nd wave – iTunes announces you can buy full length videos, the opened the flood gates for content producers 3rd wave – YouTube in 2006 4th wave – Google acquired YouTube, copyright lawsuits ensued, videos taken down and users go to video search engines to find videos – one stop shop to search all video on video sharing sites, but you can search all the videos on all the sites that have videos.

Truveo offers API’s to enable their users to search and browse through millions of online videos – -- submit feeds to them too

Li Evans is the owner and editor of Search Marketing Gurus and is also the Search Marketing Manager for Commerce360.


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