Yevgeny Yaroker

Title: Yevgeny Yaroker: Innovator in Video Annotation Technologies

Introduction

Yevgeny Yaroker is a notable inventor based in Haifa, Israel. He has made significant contributions to the field of video annotation technologies, holding 2 patents that showcase his innovative approach to creating and managing training data.

Latest Patents

Yaroker's latest patents include "Automatic creation of difficult annotated data leveraging cues" and "Creating sparsely labeled video annotations." The first patent describes a system and method for generating challenging training data from simpler training data. This involves receiving training data that includes visual data with synthetic semantic implants (VSSI) containing cues. An annotator identifies these cues and annotates the VSSI to create a modified training data set. A data scrambler then removes cues from the VSSI to produce tagged training data, which can be utilized to train classifiers for identifying transitions between segments when cues are absent. The second patent outlines methods and systems for annotating objects in video frames. It involves obtaining an annotation of an object and running multiple computerized object trackers on the annotated object to automatically label it in subsequent video frames. A computerized user interface aggregates the results, allowing for the identification of the best tracker to use for further annotations.

Career Highlights

Yevgeny Yaroker is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in the realm of video annotation and data management. His work has significantly advanced the capabilities of automated systems in handling complex visual data.

Collaborations

Yaroker has collaborated with notable colleagues such as Udi Barzelay and Daniel Nechemia Rotman, contributing to the development of cutting-edge technologies in his field.

Conclusion

Yevgeny Yaroker's contributions to video annotation technologies reflect his innovative spirit and dedication to advancing the field. His patents demonstrate a commitment to improving the efficiency and effectiveness of training data management.