11 datasets found

This subset of the TINTIN Corpus includes data related to perspective taking and POV constructions Multimodal Annotation Software Tool, 0.1.2 All annotation guides for the...

This subset of the TINTIN Corpus involves annotation data of comics related to layout and internal compositional structure related to Flow Directions and Flow Cues. Multimodal...

Writing is a significant human invention claimed to affect numerous aspects of cognition, including the ordering of pictures. However, picture sequences like those in comics...

In visual narratives like comics, the most overt form of perspective-taking comes in panels that directly depict the viewpoints of characters in the scene. We therefore examined...

This dataset covers annotations of Framing Structure for panels in the 1,030 comics in the TINTIN Corpus. This includes framing categories and characters per panel. For...

The Visual Language Research Corpus (VLRC) is comprised of annotations of a corpus of comics analyzing the structures in visual languages of the world. The VLRC includes ~36,000...

Panels are a fundamental unit of comics, yet basic data about their usage in comics from around the world has yet to be analyzed. Multimodal Annotation Software Tool, 0.1.2

Languages use different strategies to encode motion. Some use particles or “satellites” to describe a path of motion (Satellite-framed or S-languages like English), while others...

Visual narratives, like comics, at times show depictions of characters’ imagination, dreams, or flashbacks, which seem incongruent with the ongoing primary narrative. Such...

Understanding visual narratives requires readers to track dimensions of time, spatial location, and characters across a sequence. Previous work has found situational changes...

Corpus data of comic backgrounds from six countries; used to examine cultural differences in background use to communicate spatial information about the context of comic scenes.