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Mutlimodal Learning with Deep Boltzmann Machine for Emotion Prediction in User Generated Videos
6 references·2 citing·34 second hop
Mutlimodal Learning with Deep Boltzmann Machine for Emotion Prediction in User Generated Videos (2015)Mutlimodal Learning with Deep Boltzmann M…Predicting Viewer Perceived Emotions in Animated GIFs (2014)Predicting Viewer Perceived E…Predicting Emotions in User-Generated Videos (2014)Predicting Emotions in User-G…A Large Video Database for Computational Models of Induced Emotion (2013)A Large Video Database for Co…Hierarchical affective content analysis in arousal and valence dimensions (2012)Hierarchical affective conten…Determination of emotional content of video clips by low-level audiovisual features (2011)Determination of emotional co…Affective understanding in film (2006)Affective understanding in fi…Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network (2023)Weakly Supervised Video Emoti…A comprehensive study on mid-level representation and ensemble learning for emotional analysis of video material (2016)A comprehensive study on mid-…The Measurement of Meaning (1957)An argument for basic emotions (1992)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Arousal Recognition Using Audio-Visual Features and FMRI-Based Brain Response (2015)A circumplex model of affect. (1980)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Content-Based Prediction of Movie Style, Aesthetics, and Affect: Data Set and Baseline Experiments (2014)User-generated video emotion recognition based on key frames (2021)A Survey on Databases for Multimodal Emotion Recognition and an Introduction to the VIRI (Visible and InfraRed Image) Database (2022)Affective Computing (1997)What is an emotion? (2005)Deep Learning the City: Quantifying Urban Perception at a Global Scale (2016)Emotion in Context (2016)Video Emotion Recognition with Transferred Deep Feature Encodings (2016)Evidence for a three-factor theory of emotions (1977)Effects of color on emotions. (1994)Group-level arousal and valence recognition in static images: Face, body and context (2015)Recognition of Emotions in User-Generated Videos With Kernelized Features (2018)The expression of the emotions in man and animals. (1872)International Affective Picture System (IAPS) : Technical Manual and Affective Ratings (1995)On shape and the computability of emotions (2012)Deep Multimodal Learning for Affective Analysis and Retrieval (2015)Video Affective Content Analysis: A Survey of State-of-the-Art Methods (2015)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)Multisensory integration: current issues from the perspective of the single neuron (2008)The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization (2016)A Review of Generalizable Transfer Learning in Automatic Emotion Recognition (2020)Unlocking the Emotional World of Visual Media: An Overview of the Science, Research, and Impact of Understanding Emotion (2023)Effects of color on emotions. (1994)The Effects of Color on Emotions (2013)A GENERAL PSYCHOEVOLUTIONARY THEORY OF EMOTION (1980)Basic Emotions (1999)
this work references cited by second hop

References

  • 2006Affective understanding in film267 cited
  • 2014Predicting Emotions in User-Generated Videos123 cited
  • 2014Predicting Viewer Perceived Emotions in Animated GIFs81 cited
  • 2013A Large Video Database for Computational Models of Induced Emotion52 cited
  • 2012Hierarchical affective content analysis in arousal and valence dimensions50 cited
  • 2011Determination of emotional content of video clips by low-level audiovisual features44 cited

Cited by

  • 2016A comprehensive study on mid-level representation and ensemble learning for emotional analysis of video material32 cited
  • 2023Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network32 cited

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