Information visualization techniques to browse songs on iPhone device
For each music track, music collections are generally presented as plain textual lists of artist, title, album etc. It becomes very difficult for users to browse and access the large volume of personal music libraries. No established convenient user interfaces exist, especially for mobile devices, i...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/48527 |
| _version_ | 1826120916456701952 |
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| author | Garodia, Ekta. |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Garodia, Ekta. |
| author_sort | Garodia, Ekta. |
| collection | NTU |
| description | For each music track, music collections are generally presented as plain textual lists of artist, title, album etc. It becomes very difficult for users to browse and access the large volume of personal music libraries. No established convenient user interfaces exist, especially for mobile devices, in respect to possible information visualization techniques.
The new iOS application SongNet visualizes the user’s music library on his/her iPhone or iPod. Using a similarity algorithm designed by the author, SongNet displays the six nearest songs to the song chosen by the user, in a beautifully presented visualization. This visualization is highly interactive and allows the user to browse intuitively through his entire music collection with ease.
This results in an aspiring music library visualization, which can be handled effortlessly by the user and provides new possibilities for accessing a music collection on mobile devices. |
| first_indexed | 2024-10-01T05:24:15Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/48527 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:24:15Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | ntu-10356/485272023-03-03T20:51:25Z Information visualization techniques to browse songs on iPhone device Garodia, Ekta. School of Computer Engineering Chi-Wing Fu DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation For each music track, music collections are generally presented as plain textual lists of artist, title, album etc. It becomes very difficult for users to browse and access the large volume of personal music libraries. No established convenient user interfaces exist, especially for mobile devices, in respect to possible information visualization techniques. The new iOS application SongNet visualizes the user’s music library on his/her iPhone or iPod. Using a similarity algorithm designed by the author, SongNet displays the six nearest songs to the song chosen by the user, in a beautifully presented visualization. This visualization is highly interactive and allows the user to browse intuitively through his entire music collection with ease. This results in an aspiring music library visualization, which can be handled effortlessly by the user and provides new possibilities for accessing a music collection on mobile devices. Bachelor of Engineering (Computer Science) 2012-04-25T08:16:58Z 2012-04-25T08:16:58Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48527 en Nanyang Technological University 61 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation Garodia, Ekta. Information visualization techniques to browse songs on iPhone device |
| title | Information visualization techniques to browse songs on iPhone device |
| title_full | Information visualization techniques to browse songs on iPhone device |
| title_fullStr | Information visualization techniques to browse songs on iPhone device |
| title_full_unstemmed | Information visualization techniques to browse songs on iPhone device |
| title_short | Information visualization techniques to browse songs on iPhone device |
| title_sort | information visualization techniques to browse songs on iphone device |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation |
| url | http://hdl.handle.net/10356/48527 |
| work_keys_str_mv | AT garodiaekta informationvisualizationtechniquestobrowsesongsoniphonedevice |