A semi-automatic annotation tool for cooking video

Simone Bianco; Gianluigi Ciocca; Paolo Napoletano; Raimondo Schettini; Roberto Margherita; Gianluca Marini; Giorgio Gianforme; Giuseppe Pantaleo

doi:10.1117/12.2003878

6 March 2013 A semi-automatic annotation tool for cooking video

Simone Bianco, Gianluigi Ciocca, Paolo Napoletano, Raimondo Schettini, Roberto Margherita, Gianluca Marini, Giorgio Gianforme, Giuseppe Pantaleo

Author Affiliations +

Proceedings Volume 8661, Image Processing: Machine Vision Applications VI; 866112 (2013) https://doi.org/10.1117/12.2003878
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

In order to create a cooking assistant application to guide the users in the preparation of the dishes relevant to their profile diets and food preferences, it is necessary to accurately annotate the video recipes, identifying and tracking the foods of the cook. These videos present particular annotation challenges such as frequent occlusions, food appearance changes, etc. Manually annotate the videos is a time-consuming, tedious and error-prone task. Fully automatic tools that integrate computer vision algorithms to extract and identify the elements of interest are not error free, and false positive and false negative detections need to be corrected in a post-processing stage. We present an interactive, semi-automatic tool for the annotation of cooking videos that integrates computer vision techniques under the supervision of the user. The annotation accuracy is increased with respect to completely automatic tools and the human effort is reduced with respect to completely manual ones. The performance and usability of the proposed tool are evaluated on the basis of the time and effort required to annotate the same video sequences.

Citation Download Citation

Simone Bianco, Gianluigi Ciocca, Paolo Napoletano, Raimondo Schettini, Roberto Margherita, Gianluca Marini, Giorgio Gianforme, and Giuseppe Pantaleo "A semi-automatic annotation tool for cooking video", Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 866112 (6 March 2013); https://doi.org/10.1117/12.2003878

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