Multimodal framework based on audio‐visual features for summarisation of cricket videos
dc.contributor.author | Javed, Ali | |
dc.contributor.author | Irtaza, Aun | |
dc.contributor.author | Malik, Hafiz | |
dc.contributor.author | Mahmood, Muhammad Tariq | |
dc.contributor.author | Adnan, Syed | |
dc.date.accessioned | 2021-02-04T21:49:08Z | |
dc.date.available | 2021-02-04T21:49:08Z | |
dc.date.issued | 2019-03 | |
dc.identifier.citation | Javed, Ali; Irtaza, Aun; Malik, Hafiz; Mahmood, Muhammad Tariq; Adnan, Syed (2019). "Multimodal framework based on audio‐visual features for summarisation of cricket videos." IET Image Processing 13(4): 615-622. | |
dc.identifier.issn | 1751-9659 | |
dc.identifier.issn | 1751-9667 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/166171 | |
dc.publisher | The Institution of Engineering and Technology | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | audio signal processing | |
dc.subject.other | acoustic local binary pattern features | |
dc.subject.other | video signal processing | |
dc.subject.other | decision trees | |
dc.subject.other | feature extraction | |
dc.subject.other | sport | |
dc.subject.other | pattern classification | |
dc.subject.other | support vector machines | |
dc.subject.other | binary support vector machine classifier | |
dc.subject.other | audio stream | |
dc.subject.other | excitement level | |
dc.subject.other | (C6170K) Knowledge engineering techniques | |
dc.subject.other | (C5260D) Video signal processing | |
dc.subject.other | (C5260B) Computer vision and image processing techniques | |
dc.subject.other | (C1160) Combinatorial mathematics | |
dc.subject.other | (C1140Z) Other topics in statistics | |
dc.subject.other | (B6135) Optical, image and video signal processing | |
dc.subject.other | (B6130) Speech and audio signal processing | |
dc.subject.other | (B0240Z) Other topics in statistics | |
dc.subject.other | input cricket videos | |
dc.subject.other | decision tree‐based classifier | |
dc.subject.other | candidate key‐video frames | |
dc.subject.other | excited audio frames | |
dc.subject.other | audio frame | |
dc.subject.other | trained SVM classifier | |
dc.subject.other | key‐events detection | |
dc.subject.other | transmission benefits | |
dc.subject.other | storage | |
dc.subject.other | entire video | |
dc.subject.other | exciting segments | |
dc.subject.other | video summarisation | |
dc.subject.other | video content | |
dc.subject.other | sports broadcasters | |
dc.subject.other | audio‐visual features | |
dc.subject.other | multimodal framework | |
dc.title | Multimodal framework based on audio‐visual features for summarisation of cricket videos | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Computer Science | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166171/1/ipr2bf02094.pdf | |
dc.identifier.doi | 10.1049/iet-ipr.2018.5589 | |
dc.identifier.doi | https://dx.doi.org/10.7302/94 | |
dc.identifier.source | IET Image Processing | |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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