Publication at Faculty of Mathematics and Physics |
2018
Abstract
Known-item search in multimodal lifelog data represents a challenging task for present search engines. Since sequences of temporally close images represent a significant part of the provided data, an interactive video retrieval tool with few extensions could be confronted at Lifelog Search Challenge in known-item search tasks.
We present an update of the SIRET interactive video retrieval tool that recently won the Video Browser Showdown 2018. As the tool relies on frame-based representations and retrieval models, it can be directly used also for images from lifelog cameras.
The updates comprise mostly visualization and navigation methods for a high number of visually similar scenes representing repetitive daily activities.