In his Bachelor Thesis, Viktor Lakic investigated the decay happening in datasets when the resources that Web-URLs point to become unavailable. This Link-Rot can cause problems for reproducibility, as datasets can shrink over time, potentially changing the outcome of experiments which use them. A paper based on the data that Viktor collected in his thesis, co-authored by Luca Rossetto and Abraham Bernstein, was recently presented at the 2023 International Conference on Multimedia Modeling in the Special Session on ‘Multimedia Datasets for Repeatable Experimentation’. The paper was awarded the ‘Best Special Session Paper Award’, honoring the best contribution across all special sessions of the conference. Congratulations!

“HyText – A Scene-Text Extraction Method for Video Retrieval.“

Authors: Alexander Theus, Luca Rossetto, and Abraham Bernstein

Abstract: “Scene-text has been shown to be an effective query target for video retrieval applications in a known-item search context. While much progress has been made in scene-text extraction from individual pictures, the special case of video has so far received less attention. This paper introduces HyText, a scene-text extraction method for video with a focus on retrieval applications. HyText uses intermittent scene-text detection in combination with bi-directional tracking in order to increase throughput without reducing detection accuracy.”

You can read the full paper here.