Multimedia search

Source: Wikipedia, the free encyclopedia.

Multimedia search enables information

search using queries in multiple data types including text and other multimedia
formats. Multimedia search can be implemented through
search queries
not only as textual requests, but also through other media. We can distinguish two methodologies in multimedia search:

Metadata search

Search is made using the layers in metadata which contain information of the content of a multimedia file. Metadata search is easier, faster and effective because instead of working with complex material, such as an audio, a video or an image, it searches using text.

There are three processes which should be done in this method:

Query by example

In

query by example, the element used to search is a multimedia content (image, audio, video). In other words, the query is a media. Often, it's used audiovisual indexing
. It will be necessary to choose the criteria we are going to use for creating metadata. The process of search can be divided in three parts:

Multimedia search engine

There are two big search families, in function of the content:

Visual search engine

Inside this family we can distinguish two topics:

video search

  • QR codes
    .
  • Video search
    : Videos can be searched for simple metadata or by complex metadata generated by indexing. The audio contained in the videos is usually scanned by audio search engines.

Audio search engine

There are different methods of audio searching:

  • Voice search engine: Allows the user to search using speech instead of text. It uses algorithms of speech recognition. An example of this technology is Google Voice Search.[1]
  • Music search engine: Although most of applications which searches music works on simple metadata (artist, name of track, album…) . There are some programs of
    music recognition, for example Shazam[2] or SoundHound
    .

See also

References