About Speaker
Paridhi GuptaSoftware Engineer
Paridhi Gupta, graduated from IGDTUW - Computer Sc. & Engineering. She is working at Intuit as a software developer. Her research papers were presented in ICAC'17, UK and also published in IEEE Xplore.
It deals with multimodal analysis of videos using audio and visual features and categorizing the video into positive, negative and neutral. Perplexed Bayes classifier, a probability based model, was applied for categorisation of the videos. Perplex Bayes was then compared with Naive Bayes Classifier.Also, context of the video was determined by linguistic feature analysis. Key Points of Discussion:
- How to extract audio, visual and textual features from a video
- Fusion Techniques
- Perplexed Bayes Classifier
- Guassian Probability distribution
- Applying Perplex Classifier on videos