Automated Composition of Picture-Synched Music Soundtracks for Movies Article Swipe
Vansh Dassani
,
Jon Bird
,
Dave Cliff
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1145/3359998.3369405
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1145/3359998.3369405
We describe the implementation of and early results from a system that automatically composes picture-synched musical soundtracks for videos and movies. We use the phrase "picture-synched" to mean that the structure of the automatically composed music is determined by visual events in the input movie, i.e. the final music is synchronised to visual events and features such as cut transitions or within-shot key-frame events. Our system combines automated video analysis and computer-generated music-composition techniques to create unique soundtracks in response to the video input, and can be thought of as an initial step in creating a computerised replacement for a human composer writing music to fit the picture-locked edit of a movie. Working only from the video information in the movie, key features are extracted from the input video, using video analysis techniques, which are then fed into a machine-learning-based music generation tool, to compose a piece of music from scratch. The resulting soundtrack is tied to video features, such as scene transition markers and scene-level energy values, and is unique to the input video. Although the system we describe here is only a preliminary proof-of-concept, user evaluations of the output of the system have been positive.
Related Topics
Concepts
Computer science
Cinematography
Shot (pellet)
Key (lock)
Transition (genetics)
Composition (language)
Frame (networking)
Multimedia
Artificial intelligence
Computer graphics (images)
Computer vision
Speech recognition
Art
Visual arts
Organic chemistry
Chemistry
Gene
Literature
Biochemistry
Computer security
Telecommunications
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1145/3359998.3369405
- OA Status
- green
- References
- 15
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2980935246
All OpenAlex metadata
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https://openalex.org/W2980935246Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3359998.3369405Digital Object Identifier
- Title
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Automated Composition of Picture-Synched Music Soundtracks for MoviesWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-12-02Full publication date if available
- Authors
-
Vansh Dassani, Jon Bird, Dave CliffList of authors in order
- Landing page
-
https://doi.org/10.1145/3359998.3369405Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/1910.08773Direct OA link when available
- Concepts
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Computer science, Cinematography, Shot (pellet), Key (lock), Transition (genetics), Composition (language), Frame (networking), Multimedia, Artificial intelligence, Computer graphics (images), Computer vision, Speech recognition, Art, Visual arts, Organic chemistry, Chemistry, Gene, Literature, Biochemistry, Computer security, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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15Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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| publication_date | 2019-12-02 |
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| referenced_works | https://openalex.org/W2115941714, https://openalex.org/W2150958177, https://openalex.org/W2036195562, https://openalex.org/W2031410675, https://openalex.org/W2006830243, https://openalex.org/W2771667155, https://openalex.org/W3213458668, https://openalex.org/W2126485319, https://openalex.org/W2169896877, https://openalex.org/W2794440225, https://openalex.org/W2514153479, https://openalex.org/W1857884451, https://openalex.org/W1483870316, https://openalex.org/W2148730083, https://openalex.org/W2503865231 |
| referenced_works_count | 15 |
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| abstract_inverted_index.events. | 63 |
| abstract_inverted_index.initial | 91 |
| abstract_inverted_index.markers | 163 |
| abstract_inverted_index.movies. | 20 |
| abstract_inverted_index.musical | 15 |
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| abstract_inverted_index.soundtracks | 16, 77 |
| abstract_inverted_index.techniques, | 132 |
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| abstract_inverted_index."picture-synched" | 25 |
| abstract_inverted_index.music-composition | 72 |
| abstract_inverted_index.proof-of-concept, | 185 |
| abstract_inverted_index.computer-generated | 71 |
| abstract_inverted_index.machine-learning-based | 139 |
| cited_by_percentile_year | |
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| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.11175954 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |