George Kondylakis’s research while affiliated with University of Crete and other places

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Publications (1)


Application architecture of our system.
The output of the trained model: bounding boxes, scores and labels.
The annotation workspace screen of CVAT. In the particular case, the video frame contains an object corresponding to “bowl” class and a bounding box containing exactly the object that has already been created.
CVAT screens at various annotation stages. Each object was moved at various positions such that a variety of poses and locations was captured.
Showcase of simultaneous object detection and tracking: (a) solely object detection, (b) combination of object detection and tracking, (c) updated detection and tracking.

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Semantically Annotated Cooking Procedures for an Intelligent Kitchen Environment
  • Article
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September 2022

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1 Citation

George Kondylakis

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Food preparation is one of the essential tasks in daily life and involves a large number of physical interactions between hands, utensils, ingredients, etc. The fundamental unit in the food preparation activity is the concept of a recipe. The recipe describes the cooking process—the way to make a dish in a sequential order of cooking steps. Frequently, following these steps can be an extremely complicated process, which requires coordination, monitoring and execution of multiple tasks simultaneously. This work introduces a cooking assistance system powered by Computer Vision techniques that provide the user with guidance in the accomplishment of a cooking activity in terms of a recipe and its correct execution. The system can provide the user with guidance for carrying out a recipe through the appropriate messages, which appear in a panel specifically designed for the user. Throughout the process, the system can validate the correctness of each step by (a) detection and motion estimation of the ingredients and utensils in the scene and (b) spatial arrangement of them in terms of where each one is located to another. The system was first evaluated on individual algorithmic steps and on the end-to-end execution of two recipes with promising results.

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Citations (1)


... Among these, interactive museum artifacts are blending bits and pieces from the aforementioned technologies to provide unique interaction and storytelling experiences (e.g., [101][102][103][104][105][106]). At the same time, the museum content is expanded to support aspects of intangible cultural heritage including the oral tradition, festive events, recipes, social events, and craft practices (e.g., [107][108][109][110][111][112][113][114]). ...

Reference:

Digital Interaction with Physical Museum Artifacts
Semantically Annotated Cooking Procedures for an Intelligent Kitchen Environment