Analysis of the use of color and its emotional relationship in visual creations based on experiences during the context of the COVID-19 pandemic
Color is a complex communicative element that helps us understand and evaluate our environment. At the level of artistic creation, this component influences both the formal aspects of the composition and the symbolic weight, directly affecting the construction and transmission of the message that you want to communicate, creating a specific emotional reaction. During the COVID-19 pandemic, people generated countless images transmitting this event's subjective experiences. Using the repository of images created in the Instagram account CAM (The COVID Art Museum), we propose a methodology to understand the use of color and its emotional relationship in this context. The process considers two stages in parallel that are then combined. First, emotions are extracted and classified from the CAM dataset images through a convolutional neural network. Second, we extract the colors and their harmonies through a clustering process. Once both processes are completed, we combine the results generating an expanded discussion on the usage of color, harmonies, and emotion. The results indicate that warm colors are prevalent in the sample, with a preference for analog compositions over complementary ones. The relationship between emotions and these compositions shows a trend in positive emotions, reinforced by the results of the algorithm a priori and the emotional relationship analysis of the attributes of color (hue, chroma, and lighting).
Code (1)
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Emosaic: Visualizing Affective Content of Text at Varying Granularity
This paper presents Emosaic, a tool for visualizing the emotional tone of text documents, considering multiple dimensions of emotion and varying levels of semantic granularity. Emosaic is grounded in psychological resear…
Attributes-aware Visual Emotion Representation Learning
Visual emotion analysis or recognition has gained considerable attention due to the growing interest in understanding how images can convey rich semantics and evoke emotions in human perception. However, visual emotion a…
AttributeEmotion RecognitionRepresentation LearningScene UnderstandingSee Your Heart: Psychological states Interpretation through Visual Creations
In psychoanalysis, generating interpretations to one's psychological state through visual creations is facing significant demands. The two main tasks of existing studies in the field of computer vision, sentiment/emotion…
Emotion ClassificationImage CaptioningRegressor-Guided Image Editing Regulates Emotional Response to Reduce Online Engagement
Emotions are known to mediate the relationship between users' content consumption and their online engagement, with heightened emotional intensity leading to increased engagement. Building on this insight, we propose thr…
Generative Adversarial NetworkAesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation
Emotional information is essential for enhancing human-computer interaction and deepening image understanding. However, while deep learning has advanced image recognition, the intuitive understanding and precise control …
EEGImage StylizationRhythm