HCApr 10, 2018

A Web-based Large-scale Timelapse Editor for Creating and Sharing Guided Video Tours and Interactive Slideshows

arXiv:1804.03307v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses a domain-specific need for scientists, journalists, and photographers to efficiently create and share visual narratives from timelapse data, but it is incremental as it builds on existing visualization tools.

The paper tackles the problem of professionals struggling to create visual stories from large-scale timelapse data by presenting a web-based editor that supports guided video tours and interactive slideshows, enabling multimodal storytelling.

Scientists, journalists, and photographers have used advanced camera technology to capture extremely high-resolution timelapse and developed information visualization tools for data exploration and analysis. However, it takes a great deal of effort for professionals to form and tell stories after exploring data, since these tools usually provide little aids in creating visual elements. We present a web-based timelapse editor to support the creation of guided video tours and interactive slideshows from a collection of large-scale spatial and temporal images. Professionals can embed these two visual elements into web pages in conjunction with various forms of digital media to tell multimodal and interactive stories.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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