{"ID":6626569,"CreatedAt":"2026-07-15T02:56:36.47817413Z","UpdatedAt":"2026-07-15T03:28:55.185153975Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.12958","arxiv_id":"2607.12958","title":"CD-MED: Cross-Domain Multimodal Emotion Descriptor for Visual Comparison of Digital Objects","abstract":"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 melody, rhythm, lyrics, and vocal tone. Because existing emotion recognition models are usually modality-specific, it is difficult to compare such objects directly. This paper proposes CD-MED, a Cross-Domain Multimodal Emotion Descriptor for representing heterogeneous digital objects in a common emotional space. Each modality can be processed by its own emotion recognition model, and the resulting emotional outputs are transformed into a shared descriptor. The descriptor preserves information from individual modalities while also allowing an integrated emotional profile of the object. For interpretation, CD-MED is visualized in the valence-arousal space: position represents affective coordinates, color denotes emotion category, size indicates intensity, and shape shows the modality. This unified representation enables emotion-based comparison, retrieval, recommendation, and visualization across different domains such as movies, songs, images, and books.","short_abstract":"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 melody, rhythm, lyrics, and vocal tone. Because existing emotion recognition models are usually modality-specific, it is difficult to compare s...","url_abs":"https://arxiv.org/abs/2607.12958","url_pdf":"https://arxiv.org/pdf/2607.12958v1","authors":"[\"Elnara Kadyrgali\",\"Muragul Muratbekova\",\"Pakizar Shamoi\"]","published":"2026-07-14T16:54:51Z","proceeding":"cs.HC","tasks":"[\"cs.HC\"]","methods":"[]","has_code":false}