Information Retrieval Techniques for non-textual media - Prof. A ...

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Music Information Retrieval • to determine the similarity between two given melodies; • there are several melodic similarity measures • Audio Segment Retrieval Using a Synthesized HMM was attempted • The approach allows a user to query audio data of any length by one or more example audio segments and find similar segments. • Audio identification using sinusoidal modeling and application to jingle detection
Signal + Context = Better Classification • Typical signal-based approaches to extract musical descriptions from audio only have limited precision. • architecture to train a large set of binary classifiers simultaneously, for many different musical metadata (genre, instrument, mood, etc.), in such a way that correlation between metadata is used to reinforce each individual classifier. • The system is iterative
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INFORMATION RETRIEVAL TECHNIQUES FO
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Media Storage • Ninety-two percen
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Population Reference Bureau • the
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The WWW • contains about 170 tera
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Web content • The median size of
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AVI & mp3 files • In looking at f
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Growth of multimedia content • Th
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Databases • Collection of all org
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Metadata • The word Metadata is u
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Types of Search Queries • Most of
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THE MULTIMEDIA ANALYSIS AND RETRIEV
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Information Retrieval Systems (IRS)
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Ways of locating text documents •
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MIMD architectures • Document /da
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Multimedia Mining Hierarchy • Mul
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Image-based Applications • due to
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Images • Images offer a number of
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Characteristics of original image c
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The elements used for image represe
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Image retrieval queries • can be
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Text-based image retrieval : • Of
Page 50 and 51: • Currently, CBIR routines are re
Page 52 and 53: Basic color profile • Though ther
Page 54 and 55: Automatic object recognition • To
Page 56 and 57: Automatic Linguistic Indexing of Pi
Page 60 and 61: Streamed media applications: Source
Page 62 and 63: Streamed-data applications include
Page 64 and 65: Search requests for streamed data
Page 66 and 67: Web Server vs. Streaming Server: CE
Page 68 and 69: Watch Live programmes
Page 70 and 71: • This media file is then placed
Page 72 and 73: Data Delivery • The rest of the s
Page 74 and 75: • For example, • One hour of vi
Page 76 and 77: Protocol issues • five major type
Page 78 and 79: Unicast protocols • send a separa
Page 80 and 81: Benefits of protocols • UDP - pro
Page 82 and 83: Vlc media player options
Page 84 and 85: Inputs VLC features page UDP Unicas
Page 86 and 87: Web 2.0 Ogg bitstream format • Fr
Page 88 and 89: Internet television: (ERNET Model)
Page 90 and 91: P2PTV • The term P2PTV refers to
Page 92 and 93: • The benefits of using PeerCast
Page 94 and 95: • Supported live media sources in
Page 96 and 97: Decoded capture • An approach use
Page 98 and 99: • International Institute of Info
Page 102 and 103: Content-based music retrieval using
Page 104 and 105: Flash video + text + command button
Page 106 and 107: E-content deployment • Full conte
Page 108 and 109: LOR: Front page- Blocked content
Page 110 and 111: Radio Broadcast TV Broadcast Videoc
Page 112: Thank you
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