Video search engine
The main use of these search engines is the increasing creation of audiovisual content and the need to manage it properly.
The digitization of audiovisual archives and the establishment of the Internet, has led to large quantities of video files stored in big databases, whose recovery can be very difficult because of the huge volumes of data and the existence of a semantic gap.
Internet is often used in a language called XML to encode metadata, which works very well through the web and is readable by people.
To review these data exist programs like FLV MetaData Injector, Sorenson Squeeze or Castfire.
Gaudi (Google Audio Indexing), a project developed by Google Labs, uses voice recognition technology to locate the exact moment that one or more words have been spoken within an audio, allowing the user to go directly to exact moment that the words were spoken.
If the search query matches some videos from YouTube, the positions are indicated by yellow markers, and must pass the mouse over to read the transcribed text.
Descriptions are generated automatically and can describe different aspects of the frames, such as color, texture, shape, motion, and the situation.
The video analysis can lead to automatic chaptering, using technics such as change of camera angle, identification of audio jingles.
This criterion is more ambiguous and less objective, but sometimes it is the closest to what we want; depends entirely on the searcher and the algorithm that the owner has chosen.
It is common practice in repositories let the users rate the videos, so that a content of quality and relevance will have a high rank on the list of results gaining visibility.
Their searches are often based on reading the metadata tags, titles and descriptions that users assign to their videos.
The disposal and order criterion of the results of these searches are usually selectable between the file upload date, the number of viewings or what they call the relevance.
Still, sorting criteria are nowadays the main weapon of these websites, because the positioning of videos is important in terms of promotion.
These searchers are usually software or rich Internet applications with a very specific search options for maximum speed and efficiency when presenting the results.
An example of this type of software would be the Digition Suite, which apart from being a benchmark in this kind of interfaces is very close to us as for the storage and retrieval files system from the Corporació Catalana de Mitjans Audiovisuals.
[2] This particular suite and perhaps in its strongest point is that it integrates the entire process of creating, indexing, storing, searching, editing, and a recovery.
Once the results appear and they arranged according to preferences, the user can play the low quality videos to work as quickly as possible.
Others work by literally listening to the entire podcast and creating a text transcription using a sophisticated speech-to-text process.
