1,721,057 research outputs found
REELCHART: A tool for the exploration of video footage in the context of engaged research-led teaching.
The paper discusses "Reelchart", a visual interface for the exploration and analysis of collections of YouTube videos. The tool is meant to support "engaged research-led teaching" in the context of digital methods, defined as the entanglement of research, teaching and public engagement activities when doing academic work with and about the digital. Building on the notion of "programmed methods", where digital research methods and tools are often combined, we developed a tool and associated analytical technique for exploring video footage collected from Youtube. We envision the context of use of this tool in settings such as data sprints or teaching activities focused on studying social issues with the web in humanities, social sciences and design curricula
Four orientations to the strategic management of new product development: a contingent approach
Studying the solver’s motivation in participating to a contest: the case of University Contests
I processi di sensemaking nei progetti di innovazione congiunti università – imprese: una ricerca empirica nel settore informatica e telecomunicazioni in Italia
Data-Driven Curated Video Catalogs: Republishing Video Footage
This project illustrates data-driven curated video catalogs as an approach for the analysis of video footage. Having rich and diverse collections of videos as inputs, data-driven catalogs seek to identify common objects and reorganize them into thematic clusters displayed in a video format. The technique takes inspiration from two scientific practices (core sampling and light diffraction) and two publishing formats (supercuts and visual catalogs). Data-driven curated video catalogs are used to republish a collection of found footage of 2019 Veniceʼs high water that devastated the city in an unprecedented way. Starting from an editorial selection of footage culled from YouTube, various algorithmic processes are used to demarcate and reorganize the material into thematic video series (people, boats, and birds). The resulting video catalogs support a type of visual analysis that goes beyond traditional forms of measurement while, at the same time, carrying an expressive power.Este proyecto ilustra de qué manera los catálogos de video con proceso curatorial basado en datos pueden ofrecer un enfoque para analizar secuencias de video. Teniendo ricas y diversas colecciones de video como input, los catálogos basados en datos buscan identificar objetos comunes y reorganizarlos en clústeres temáticos que se muestran en formato de video. La técnica se inspira en dos prácticas científicas (el muestreo de núcleos y la difracción de la luz) y en dos formatos de publicación (los supercuts y los catálogos visuales). Los catálogos de video con proceso curatorial basado en datos se utilizan para republicar una colección de imágenes de la marea alta de Venecia de 2019, la que devastó la ciudad en forma inédita. A partir de una selección editorial de imágenes extraídas de YouTube, se utilizan varios procesos algorítmicos para demarcar y reorganizar el material en series temáticas de videos (personas, barcos y pájaros). Los catálogos de video resultantes permiten un tipo de análisis visual que va más allá de las formas tradicionales de medición, al tiempo que presentan un poder expresivo
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