000			01998nam a22001817a 4500
082			_a006.4 _bP165P
100			_aSinha, Pallavi _945358
245			_aPsychological Impression Of Sequence Of Images From Videos On Teenagers Using EmSET Dataset _cby Pallavi Sinha
260			_aIIT Jodhpur _bDepartment of Computer Science and Technology _c2023
300			_avii, 31p. _bHB
500			_aEmotion 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. 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			_aDepartment of Computer Science and Technology _945359
650			_aEmotion Recognition _945360
650			_aMTech Theses _945361
700			_aKalra, Sumit _945362
700			_aDhaka, Suman _945363
942			_cTH
999			_c16573 _d16573