Classical search engines perform indexing and searching of textual content in a very efficient way. However multimedia content, which accounts for a substantial portion of content over the Internet, is currently indexed based on manually entered text and metadata. This method often results in the inability to identify relevant multimedia content and poor search results.
SnippTags - a Multimedia Tagging Service
Using key-words spoken in the multimedia file as "deep" textual metatags enables classical search engines to "see" the content in these files and index it. SnippTags is an indexing service that provides content providers with the key-words that were extracted from the content's audio track together with the exact time stamps in the file where these key-words were spoken.
SnippTags - Unique Value Proposition for Content Partners
Enhancing Website Multimedia Search: using SnippTags content providers and web publishers can enrich their media pages with deep tagging, resulting in more relevant results for their end-users and higher media consumption.
SEO for Textual Search Engines: using SnippTags content providers and web publishers can make the audio tracks of their media visible to classical search engines, therefore driving more relevant traffic and increasing media consumption.
Content-based Ads: SnippTV's deep media tagging enables advanced advertising capabilities such as the alignment of ads with the appearance of keywords in the video soundtrack
Operational Model
Using the SnippTags service is simple and requires a one-time set-up process. A variety of formats are supported and the process is semi-automated. Using a standard media feed as input, the system is able to automatically download the partner's multimedia content, generate meta tags, and then automatically deliver the results or output back to the content partner within the same day using a standard XML feed.*
Business Model
Service charges are quantity based and priced on a monthly basis according to the volume of multimedia content. When relevant, revenue sharing models can also be discussed.
* - Other specific arrangements are possible based on customer needs.