Zobrazeno 1 - 9
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pro vyhledávání: '"Baijal, Anant"'
Deep-learning based techniques have contributed to the remarkable progress in the field of automatic image quality assessment (IQA). Existing IQA methods are designed to measure the quality of an image in terms of Mean Opinion Score (MOS) at the imag
Externí odkaz:
http://arxiv.org/abs/2206.06541
Experiencing images with suitable music can greatly enrich the overall user experience. The proposed image analysis method treats an artwork image differently from a photograph image. Automatic image classification is performed using deep-learning ba
Externí odkaz:
http://arxiv.org/abs/2105.07135
We approach the challenging problem of generating highlights from sports broadcasts utilizing audio information only. A language-independent, multi-stage classification approach is employed for detection of key acoustic events which then act as a pla
Externí odkaz:
http://arxiv.org/abs/1509.06279
The Emoti-Chair is a novel technology to enhance entertainment through vibrotactile stimulation. We assessed the experience of this technology in two workshops. In the first workshop, deaf film-makers experimented with creating vibetracks for a movie
Externí odkaz:
http://arxiv.org/abs/1509.05452
Publikováno v:
IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 1, 2011, 467-470
This paper illustrates successful implementation of three evolutionary algorithms, namely- Particle Swarm Optimization(PSO), Artificial Bee Colony (ABC) and Bacterial Foraging Optimization (BFO) algorithms to economic load dispatch problem (ELD). Pow
Externí odkaz:
http://arxiv.org/abs/1111.2988
Publikováno v:
2015 IEEE International Conference on Consumer Electronics (ICCE); 2015, p20-23, 4p
Publikováno v:
2012 IEEE Haptics Symposium (HAPTICS); 1/ 1/2012, p509-515, 7p
Akademický článek
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Autor:
Baijal, Anant
Publikováno v:
IEEE Potentials; May/Jun2013, Vol. 32 Issue 3, p15-17, 3p