Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Jesna Mohan"'
1
Akademický článek
Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder
Autor: Jesna Mohan, Madhu S. Nair
Publikováno v: IEEE Access, Vol 6, Pp 59768-59778 (2018)
This paper addresses the problem of generating meaningful summaries from unedited user videos. A framework based on spatiotemporal and high-level features is proposed in this paper to detect the key-shots after segmenting the videos into shots based
Externí odkaz: https://doaj.org/article/efc8c7e63c4a4d65931760d98d0a5419
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2
Akademický článek
Domain independent redundancy elimination based on flow vectors for static video summarization
Autor: Jesna Mohan, Madhu S. Nair
Publikováno v: Heliyon, Vol 5, Iss 10, Pp e02699- (2019)
Video summarization aims to find a compact representation of input videos. The method finds out interesting parts of the video by discarding the remaining parts of the video. The abstracts thus generated enhances browsing and retrieval of video data.
Externí odkaz: https://doaj.org/article/64c475e4187a46fbaa337029d6197f76
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3
Akademický článek
Correction to 'Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder'
Autor: Jesna Mohan, Madhu S. Nair
Publikováno v: IEEE Access, Vol 7, Pp 98652-98652 (2019)
The equation (13) in the manuscript has to be replaced with the following equation. \begin{equation*} Recall =\frac {N_{m}}{N_{GT}}\end{equation*}
Externí odkaz: https://doaj.org/article/6aa400751875466eab2d9dedab9d1861
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4
Computer-Aided detection of tuberculosis from X-ray images using CNN and PatternNet classifier
Autor: Bejoy Abraham, Jesna Mohan, Shinu Mathew John, Sivakumar Ramachandran
Publikováno v: Journal of X-Ray Science and Technology. :1-13
BACKGROUND: Tuberculosis (TB) is a highly infectious disease that mainly affects the human lungs. The gold standard for TB diagnosis is Xpert Mycobacterium tuberculosis/ resistance to rifampicin (MTB/RIF) testing. X-ray, a relatively inexpensive and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0cf6159a458c614c6957f67ba0d72527
https://doi.org/10.3233/xst-230028
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8
Static video summarization using multi-CNN with sparse autoencoder and random forest classifier
Autor: Jesna Mohan, Madhu S. Nair
Publikováno v: Signal, Image and Video Processing. 15:735-742
A summarization system detects the parts of the input video that contain an essential message. Such a system aims to generate a very compact and meaningful representation of the original video. A novel method to detect key-frames for static summariza
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ede151f7338e36bc528fa1ed49c675ec
https://doi.org/10.1007/s11760-020-01791-4
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