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- W2731188765 abstract "The advancements in technology drifted the individuals towards the usage of modern devices and as a result, the usage of web services has increased exponentially. As a result, the quantity of multimedia data accessed and stored across the internet is growing swiftly. Online money transactions, purchases, tenders and many other applications, such as messaging among specific groups were made possible. The usage of social networking sites have gained popularity due to its capability of sharing the videos and audios along with messaging, however, retrieving the most relevant videos is a challenging task among these networking groups. In this paper, a concept of audio tagging is used and the relevant videos are retrieved efficiently. The generalised GMM distribution is used as classifier and MFCC features are used to identify the voices associated with the videos." @default.
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- W2731188765 date "2017-01-01" @default.
- W2731188765 modified "2023-09-27" @default.
- W2731188765 title "Efficient image retrievals using generalised Gaussian mixture model" @default.
- W2731188765 doi "https://doi.org/10.1504/ijcvr.2017.10005884" @default.
- W2731188765 hasPublicationYear "2017" @default.
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