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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.
196:: 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.
54:: The interaction consists in submitting a piece of information (e.g., a video, an image, or a piece of audio) for the purpose of finding similar multimedia items.
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Music search engine: Although most of applications which searches music works on simple metadata (artist, name of track, album…) . There are some programs of
180:: Although usually it's used simple metadata search, increasingly is being used indexing methods for making the results of users queries more accurate using
121:. 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:
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not only as textual requests, but also through other media. We can distinguish two methodologies in multimedia search:
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Generate descriptors for the media which we are going to use as query and the descriptors for the media in our
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engine: Allows the user to search using speech instead of text. It uses algorithms of
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content (image, audio, video). In other words, the query is a media. Often, it's used
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301:"Google Voice Search can now handle multiple languages with ease"
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There are two big search families, in function of the content:
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There are three processes which should be done in this method:
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using queries in multiple data types including text and other
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Compare descriptors of the query and our database’s media.
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formats. Multimedia search can be implemented through
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164:Inside this family we can distinguish two topics:
31:interfaces, i.e., interfaces that allow to submit
135:List the media sorted by maximum coincidence.
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316:"Shazam Launches Resonate TV Sales Platform"
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42:: the search is made on the layers of
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97:Categorization of media descriptions
220:. An example of this technology is
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267:Multimedia information retrieval
205:There are different methods of
85:Filtering of media descriptions
73:Summarization of media content
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88:(for example, elimination of
338:Information retrieval genres
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140:Multimedia search engine
321:. Retrieved 2024-04-17.
306:. Retrieved 2024-04-17.
272:Search engine indexing
257:List of search engines
251:Journal of Multimedia
160:Visual search engine
149:Visual search engine
119:audiovisual indexing
19:enables information
282:Video search engine
222:Google Voice Search
201:Audio search engine
154:Audio search engine
218:speech recognition
78:feature extraction
229:music recognition
29:multimodal search
17:Multimedia search
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182:query by example
111:query by example
105:Query by example
51:Query by example
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277:Streaming media
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184:. For example,
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59:Metadata search
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343:Multimedia
332:Categories
288:References
262:Multimedia
237:SoundHound
115:multimedia
90:Redundancy
25:multimedia
319:Billboard
304:Engadget
244:See also
186:QR codes
127:database
44:metadata
233:Shazam
21:search
168:and
235:or
109:In
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