Psychological Impression Of Sequence Of Images From Videos On Teenagers Using EmSET Dataset (Record no. 16573)

MARC details
000 -LEADER
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
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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
      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