mgr inż. Dawid Weber
Zatrudnienie
Słowa kluczowe Pomoc
- emotions detection
- film production, color correction, color theory
- machine learning
- przetwarzanie dzwieku
- akustyczny czujnik wektorowy
- android, inzynieria dzwieku, urzadzenia mobilne, informatyka
- arduino
- color grading
- color grading, film production, mood models, emotions detection
- color grading, film production, mood models, emotions detection, film music
Media społecznościowe
Kontakt
- dawweber@pg.edu.pl
Wybrane publikacje
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Classifying Emotions in Film Music - A Deep Learning Approach
The paper presents an application for automatically classifying emotions in film music. A model of emotions is proposed, which is also associated with colors. The model created has nine emotional states, to which colors are assigned according to the color theory in film. Subjective tests are carried out to check the correctness of the assumptions behind the adopted emotion model. For that purpose, a statistical analysis of the...
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Comparative study on the effectiveness of various types of road traffic intensity detectors
Vehicle detection and speed measurements are crucial tasks in traffic monitoring systems. In this work, we focus on several types of electronic sensors, operating on different physical principles in order to compare their effectiveness in real traffic conditions. Commercial solutions are based on road tubes, microwave sensors, LiDARs, and video cameras. Distributed traffic monitoring systems require a high number of monitoring...
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Predicting emotion from color present in images and video excerpts by machine learning
This work aims at predicting emotion based on the colors present in images and video excerpts using a machine-learning approach. The purpose of this paper is threefold: (a) to develop a machine-learning algorithm that classifies emotions based on the color present in an image, (b) to select the best-performing algorithm from the first phase and apply it to film excerpt emotion analysis based on colors, (c) to design an online survey...
wyświetlono 1287 razy