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Audio-Visual Atoms for Generic Video Concept …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.381.947
We develop a hierarchical algorithm to extract visual atoms from generic videos, and locate energy onsets from the corresponding soundtrack by time-frequency analysis. Audio atoms are extracted around energy onsets. Visual and audio atoms form AVAs, based on which discriminative audio-visual codebooks are constructed for concept detection.
Audio-visual atoms for generic video concept ...
https://dl.acm.org/doi/10.1145/1823746.1823748
We develop a hierarchical algorithm to extract visual atoms from generic videos, and locate energy onsets from the corresponding soundtrack by time-frequency analysis. Audio atoms are extracted around energy onsets. Visual and audio atoms form AVAs, based on which discriminative audio-visual codebooks are constructed for concept detection.
Audio-visual atoms for generic video concept ...
https://www.researchgate.net/publication/220214392_Audio-visual_atoms_for_generic_video_concept_classification
It is worth mentioning the work of Wei et al. [Jiang et al., 2010] which extends the idea of spatiotemporal video elements to audio-visual atoms for generic video concept classification. ...
Short-term audio-visual atoms for generic video concept ...
https://academiccommons.columbia.edu/doi/10.7916/D8Q5300D
2009 Articles. Short-term audio-visual atoms for generic video concept classification. Jiang, Wei; Cotton, Courtenay Valentine; Chang, Shih-Fu; Ellis, Daniel P. W.; Loui, Alexander C.. We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept detection.
Short-Term Audio-Visual Atoms for Generic Video Concept ...
https://www1.icsi.berkeley.edu/~fractor/fall2011/pres4.pdf
Short-Term Audio-Visual Atoms for Generic Video Concept Classification Authors Wei Jiang Courtenay Cotton Shih-Fu Chang Dan Ellis Alexander C. Loui Presenters Armin Samii Images from the interwebs, 2009 paper, and 2010 slides from Dan Ellis
Short-Term Audio-Visual Atoms for Generic Video Concept ...
https://www.ee.columbia.edu/~dpwe/pubs/JiangCCEL09-ST-AVA.pdf
Short-Term Audio-Visual Atoms for Generic Video Concept Classification Wei Jiang1 Courtenay Cotton1 Shih-Fu Chang1 Dan Ellis1 Alexander C. Loui2 1 Electrical Engineering Department, Columbia University, New York NY 2 Kodak Research Labs, Eastman Kodak Company, Rochester NY ABSTRACT We investigate the challenging issue of joint audio-visual
Short-Term Audio-Visual Atoms for Generic Video …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.9138
We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept detection. We propose to extract a novel representation, the Short-term Audio-Visual Atom (S-AVA), for improved concept detection.
Audio-Visual Atoms for Generic Video Concept …
https://core.ac.uk/display/23498076
Audio-Visual Atoms for Generic Video Concept Classification . By Alexander C. Loui and Eastman Kodak Company. Abstract. We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at concept detection. We extract a novel local representation, Audio-Visual Atom (AVA), which is defined as a region track ...
Short-term audio-visual atoms for generic video concept ...
https://www.researchgate.net/publication/221572782_Short-term_audio-visual_atoms_for_generic_video_concept_classification
Recently, Jiang et al. [9] developed a Short-Time Audio-Visual Atom (ST-AVA) as the joint audio-visual feature for video concept classification. First, visual regions are tracked within the short ...
Wei Jiang's Publication
https://www.ee.columbia.edu/~wjiang/publications.html
Wei Jiang, Courtenay Cotton, Shih-Fu Chang, Dan Ellis, Alexander C. Loui, "Audio-visual atoms for generic video concept classification," ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), vol.6, no.3, 2010.PDF; Wei Jiang, Guihua Er, Qionghai Dai, Jinwei Gu, "Similarity-based online feature selection in content-based image …
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