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:

• Summarization of media content (feature extraction). The result of feature extraction is a description.
• Filtering of media descriptions (for example, elimination of Redundancy)
• Categorization of media descriptions into classes.

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:

• Generate descriptors for the media which we are going to use as query and the descriptors for the media in our database.
• Compare descriptors of the query and our database’s media.
• List the media sorted by maximum coincidence.

Multimedia search engine

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

• Visual search engine
• Audio search engine

Visual search engine

Inside this family we can distinguish two topics: image search and video search

• Image search: Although usually it's used simple metadata search, increasingly is being used indexing methods for making the results of users queries more accurate using query by example. For example, 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.
• 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 or SoundHound.

References

References

1. [https://www.engadget.com/2014-08-15-google-voice-search-multi-language-default.html "Google Voice Search can now handle multiple languages with ease"] ''Engadget''. Retrieved 2024-04-17.
2. [https://www.billboard.com/music/music-news/shazam-launches-resonate-tv-sales-platform-6207061/ "Shazam Launches Resonate TV Sales Platform"] ''Billboard''. Retrieved 2024-04-17.