Psychological Impression Of Sequence Of Images From Videos On Teenagers Using EmSET Dataset (Record no. 16573)
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000 -LEADER | |
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fixed length control field | 01998nam a22001817a 4500 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.4 |
Item number | P165P |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Sinha, Pallavi |
245 ## - TITLE STATEMENT | |
Title | Psychological Impression Of Sequence Of Images From Videos On Teenagers Using EmSET Dataset |
Statement of responsibility, etc | by Pallavi Sinha |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | IIT Jodhpur |
Name of publisher | Department of Computer Science and Technology |
Year of publication | 2023 |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | vii, 31p. |
Other physical details | HB |
500 ## - GENERAL NOTE | |
General note | Emotion recognition has always been one of the interesting topics for researchers in the field of Artificial Intelligence and Machine Learning, extending the findings towards human and computer interactions. Most of the existing research and state-of-the-art solutions are based on emotion analysis on datasets based on facial expressions, some of which include CelebA, Aff-Wild, Hateful Memes, Yale Face Database, etc. The former research based on facial expressions, body language, or even audio signals does not have a wide variety in the classification of emotions, which focuses on video and audio analysis.<br/><br/>In this paper, we present a single-modal, multi-labeled image dataset. Our approach focuses on creating a novel image dataset by extracting the images from some randomly selected videos from movies/series. This multi-labeled dataset depicts the emotional impact of the sequence of images from the video on the target viewer. Our proposed method and technique for creating the dataset is implemented using Python and the OpenCV library, with multi-label classification performed by raters and reviewers falling under the category of teenagers. The novel dataset would be used for performing an experiment to help us understand the emotional impact of the test data and study the impact of the generated sequence of emotions present in any video clip on any teenager. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Department of Computer Science and Technology |
Topical Term | Emotion Recognition |
Topical Term | MTech Theses |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Kalra, Sumit |
Personal name | Dhaka, Suman |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Thesis |
Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Full call number | Accession Number | Price effective from | Koha item type |
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Not For Loan | S. R. Ranganathan Learning Hub | S. R. Ranganathan Learning Hub | Reference | 2024-04-01 | Office of Academics | 006.4 P165P | TM00508 | 2024-06-28 | Thesis |