Výsledky vyhledávání - "S. Palanivel"

Akademický článek

Music emotion recognition: The combined evidence of MFCC and residual phase

Autor: N.J. Nalini, S. Palanivel

Publikováno v: Egyptian Informatics Journal, Vol 17, Iss 1, Pp 1-10 (2016)

The proposed work combines the evidence from mel frequency cepstral coefficients (MFCC) and residual phase (RP) features for emotion recognition in music. Emotion recognition in music considers the emotions namely anger, fear, happy, neutral and sad.

Externí odkaz: https://doaj.org/article/78dd20d9b7844715aa586b4a31004527

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Akademický článek

Solvent free synthesis, spectral correlation and antimicrobial activities of some 2E 4′-nitrochalcones

Autor: Renganathan Arulkumaran, Rajasekaran Sundararajan, Sambandamoorthy Vijayakumar, S. Palanivel Sakthinathan, Ramamoorthy Suresh, Dakshnamoorthy Kamalakkannan, Kaliyaperumal Ranganathan, Ganesan Vanangamudi, Ganesamoorthy Thirunarayanan

Publikováno v: Journal of Saudi Chemical Society, Vol 20, Iss S1, Pp S122-S131 (2016)

A series containing twelve substituted styryl 4′-nitrophenyl ketones have been synthesized using solvent free SiO2–H2SO4 catalysed aldol reaction under microwave condition. The yield of chalcones is found to be more than 80%. These synthesized ke

Externí odkaz: https://doaj.org/article/e79ef36d89b94a0fa8feb52a404bb38a

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Akademický článek

AUTOMATIC SEGMENTATION OF BROADCAST AUDIO SIGNALS USING AUTO ASSOCIATIVE NEURAL NETWORKS

Autor: P. Dhanalakshmi, S. Palanivel, M. Arul

Publikováno v: ICTACT Journal on Communication Technology, Vol 1, Iss 4, Pp 187-190 (2010)

In this paper, we describe automatic segmentation methods for audio broadcast data. Today, digital audio applications are part of our everyday lives. Since there are more and more digital audio databases in place these days, the importance of effecti

Externí odkaz: https://doaj.org/article/364dce58b43244d7964ebd84a8394fcc

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Akademický článek

Video Classification and Shot Detection for Video Retrieval Applications

Autor: M. K. Geetha, S. Palanivel

Publikováno v: International Journal of Computational Intelligence Systems, Vol 2, Iss 1 (2009)

Appropriate organization of video databases is essential for pertinent indexing and retrieval of visual information. This paper proposes a new feature called Block Intensity Comparison Code (BICC) for video classification and an unsupervised shot cha

Externí odkaz: https://doaj.org/article/1982c78122e549ff87bed37a0e0491a4

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