Features and objects in visual processing
Scientific American
Artificial Intelligence - Special volume on computer vision
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
A Visual Attention Based Region-of-Interest Determination Framework for Video Sequences*
IEICE - Transactions on Information and Systems
User-Centric Content Negotiation for Effective Adaptation Service in Mobile Computing
IEEE Transactions on Software Engineering
An approach to intelligently crop and scale video for broadcast applications
Proceedings of the 2010 ACM Symposium on Applied Computing
Adapting multimedia Internet content for universal access
IEEE Transactions on Multimedia
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In this paper, an application is presented which automatically adapts SDTV (Standard Definition Television) sports productions to smaller displays through intelligent cropping and scaling. It crops regions of interest of sports productions based on a smart combination of production metadata and systematic video analysis methods. This approach allows a context-based composition of cropped images. It provides a differentiation between the original SD version of the production and the processed one adapted to the requirements for mobile TV. The system has been comprehensively evaluated by comparing the outcome of the proposed method with manually and statically cropped versions, as well as with non-cropped versions. Envisaged is the integration of the tool in post-production and live workflows.