7 citations · 10 across the 10 of their papers we have counts for
11 papers
Perceptual Color Difference Modeling Using Machine Learning and Human Similarity Judgments
Elnara Kadyrgali, Muragul Muratbekova, Adilet Yerkin +6
Accurate assessment of color differences is essential for applications ranging from digital design to quality control. While existing color difference metrics, such as CIEDE2000, a…
Semantic Context Matters: Analysis of Color Names Across Domains
Adilet Yerkin, Elnara Kadyrgali, Malika Ziyada +5
Color naming is influenced not only by physical color values but also by the semantic context in which colors are used. This paper investigates context-dependent color naming by ma…
CD-MED: Cross-Domain Multimodal Emotion Descriptor for Visual Comparison of Digital Objects
Elnara Kadyrgali, Muragul Muratbekova, Pakizar Shamoi
Digital objects express emotions through different modalities. For example, a movie may include visual scenes, audio, dialogue, and facial expressions, while a song may contain mel…
Not All Color Categories Are Equally Stable: A Multilingual Free Color Naming Experiment
Nuray Toganas, Adilet Yerkin, Elnara Kadyrgali +3
Color naming is an important part of human color perception. Its task is to allow people to describe continuous colors using discrete color categories. However, the boundaries betw…
Perceptual Asymmetry Between Hue Categories: Evidence from Human Color Categorization
Elnara Kadyrgali, Nuray Toganas, Muragul Muratbekova +1
Human color categories are not uniformly distributed in perceptual space, yet most computational color models still assume fixed and evenly structured representations. In this pape…
Color Models in Image Processing: A Review and Experimental Comparison
Muragul Muratbekova, Nuray Toganas, Ayan Igali +4
Color representation is essential in computer vision and human-computer interaction. There are multiple color models available. The choice of a suitable color model is critical for…
Fuzzy Theory in Computer Vision: A Review
Adilet Yerkin, Ayan Igali, Elnara Kadyrgali +4
Computer vision applications are omnipresent nowadays. The current paper explores the use of fuzzy logic in computer vision, stressing its role in handling uncertainty, noise, and…
COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation
Pakizar Shamoi, Nuray Toganas, Muragul Muratbekova +7
Colors are omnipresent in today's world and play a vital role in how humans perceive and interact with their surroundings. However, it is challenging for computers to imitate human…
Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System
Adilet Yerkin, Pakizar Shamoi, Elnara Kadyrgali
In today's world, making decisions as a group is common, whether choosing a restaurant or deciding on a holiday destination. Group decision-making (GDM) systems play a crucial role…
Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems
Adilet Yerkin, Elnara Kadyrgali, Yerdauit Torekhan +1
Watching movies is one of the social activities typically done in groups. Emotion is the most vital factor that affects movie viewers' preferences. So, the emotional aspect of the…
Group Movie Selection using Multi-channel Emotion Recognition
Elnara Kadyrgali, Adilet Yerkin, Yerdauit Torekhan +1
Social activities often done in groups include watching television or movies. Choosing a film that appeals to the emotional inclinations of a varied group can be tricky. One of the…