Enhancing Movie Genre Classification through Emotional Intensity Detection: An Improvised Machine Learning Approach
- Title
- Enhancing Movie Genre Classification through Emotional Intensity Detection: An Improvised Machine Learning Approach
- Creator
- Mehta M.; Sinha S.; Singhal N.; Sudhakar T.
- Description
- Movie Genre Classification through Emotion Intensity is a computer vision technique used to identify facial emotion through a sequential neural network model and to get the genre of the movie with it. This paper delves into latest advancements in Emotion Detection, particularly emphasizing neural network models and leveraging face image analysis algorithms for emotion recognition. Grenze Scientific Society, 2024.
- Source
- 15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024, Vol-2, pp. 3913-3919.
- Date
- 2024-01-01
- Publisher
- Grenze Scientific Society
- Subject
- AI/ML; Face perception; Facial emotion recognition; Image processing; Mental health (MH); Software evaluation
- Coverage
- Mehta M., Christ (Deemed to be University), Bangalore, India; Sinha S., Christ (Deemed to be University), Bangalore, India; Singhal N., Christ (Deemed to be University), Bangalore, India; Sudhakar T., Christ (Deemed to be University), Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-833130057-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Mehta M.; Sinha S.; Singhal N.; Sudhakar T., “Enhancing Movie Genre Classification through Emotional Intensity Detection: An Improvised Machine Learning Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19086.