Human action annotation, modeling and analysis based on implicit user interaction
Authors: Ntalianis, Klimis 
Doulamis, Anastasios 
Tsapatsoulis, Nicolas 
Doulamis, Nikolaos 
Issue Date: 1-Oct-2010
Journal: Multimedia Tools and Applications 
Volume: 50
Issue: 1
Keywords: Action modeling, Human action analysis, Human object detection, User transparent interaction, Video annotation
Abstract: 
This paper proposes an integrated framework for analyzing human actions in video streams. Despite most current approaches that are just based on automatic spatiotemporal analysis of sequences, the proposed method introduces the implicit user-in-the-loop concept for dynamically mining semantics and annotating video streams. This work sets a new and ambitious goal: to recognize, model and properly use "average user's" selections, preferences and perception, for dynamically extracting content semantics. The proposed approach is expected to add significant value to hundreds of billions of non-annotated or inadequately annotated video streams existing in the Web, file servers, databases etc. Furthermore expert annotators can gain important knowledge relevant to user preferences, selections, styles of searching and perception.
ISSN: 1573-7721
1380-7501
DOI: 10.1007/s11042-009-0369-6
URI: https://uniwacris.uniwa.gr/handle/3000/2892
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
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