Publication

Video Lens: Rapid Playback and Exploration of Large Video Collections and Associated Metadata

Abstract

We present Video Lens, a framework which allows users to visualize and interactively explore large collections of videos and associated metadata. The primary goal of the framework is to let users quickly find relevant sections within the videos and play them back in rapid succession. The individual UI elements are linked and highly interactive, supporting a faceted search paradigm and encouraging exploration of the data set. We demonstrate the capabilities and specific scenarios of Video Lens within the domain of professional baseball videos. A user study with 12 participants indicates that Video Lens efficiently supports a diverse range of powerful yet desirable video query tasks, while a series of interviews with professionals in the field demonstrates the framework’s benefits and future potential.

Download publication

Related Resources

See what’s new.

Publication

2017

DreamSketch: Early Stage 3D Design Explorations with Sketching and Generative Design

We present DreamSketch, a novel 3D design interface that combines the…

Publication

2021

Robust Representation Learning via Perceptual Similarity Metrics

A fundamental challenge in artificial intelligence is learning useful…

Publication

2005

An Automated Rigging System for Facial Animation.

We present a system for the automated rigging of human face models,…

Publication

2006

Prediction of Forearm Muscle Activity During Gripping

Occupational exposure is typically assessed by measuring forces and…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us