publication . Conference object . 2017

An On-line Tool for the Automatic Fragmentation and Concept-based Annotation, and the Interactive Exploration of Videos

Collyda, Chrysa; Apostolidis, Evlampios; Pournaras, Alexandros; Markatopoulou, Foteini; Mezaris, Vasileios; Patras, Ioannis;
Open Access
  • Published: 06 Jun 2017
  • Publisher: ACM
Abstract
This paper presents the VideoAnalysis4ALL tool that supports the automatic fragmentation and concept-based annotation of videos, and the exploration of the annotated video fragments through an interactive user interface. The developed web application decomposes the video into two different granularities, namely shots and scenes, and annotates each fragment by evaluating the existence of a number (several hundreds) of high-level visual concepts in the keyframes extracted from these fragments. Through the analysis the tool enables the identification and labeling of semantically coherent video fragments, while its user interfaces allow the discovery of these fragme...
Subjects
free text keywords: Web-based on-line video analysis, Video segmentation, Video content exploration, Video annotation, Video tracking, Human–computer interaction, Smacker video, computer.file_format, computer, Machine learning, computer.software_genre, Web application, business.industry, business, Fragmentation (computing), Annotation, Artificial intelligence, Computer science, Multimedia, User interface
Funded by
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
,
EC| EMMA
Project
EMMA
Enriching Market solutions for content Management and publishing with state of the art multimedia Analysis techniques
  • Funder: European Commission (EC)
  • Project Code: 732665
  • Funding stream: H2020 | IA
,
EC| MOVING
Project
MOVING
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
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