Abstract
INTRODUCTION: As an essential part of life, the use of the Internet has increased exponentially. This rising Internet bandwidth speed has made video data transmission a more popular and modern form of information exchange. For classification of video date files ther
Highlights
As an essential part of life, the use of the Internet has increased exponentially
The neural networks are the classifier where these curves are used as shown in fig 6
The plotting of the true positive rates against the false positive rates are performed at various threshold values
Summary
As an essential part of life, the use of the Internet has increased exponentially. This rising Internet bandwidth speed has made video data transmission a more popular and modern form of information exchange. METHODS: To make a successful model we use different schemes of visual and audio data analysis. CONCLUSION: In aim of this work is to categorize and caption the videos automatically.Here we proposed an enhanced HMM- ANN based classification of video recordings with the aid of audio visual feature extraction. With an increasing number of users and modes of communications, users are spending a vast amount of time on videos. It is quite difficult, for humans to categorize and caption too many videos. Parents do not want their kids to watch violent or abusive content on the Internet; for this purpose, we need such an advanced video classification technique which can identify and block that unwanted content. We have explored methods and architectures to process videos
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