Publication at Faculty of Mathematics and Physics |
2017
Abstract
According to the results of the Video Browser Showdown competition, position-color feature signatures proved to be an effective model for visual known-item search tasks in BBC video collections. In this paper, we investigate details of the retrieval model based on feature signatures, given a state-of-the-art known item search tool - Signature-based Video Browser.
We also evaluate a preliminary comparative study for three variants of the utilizes distance measures. In the discussion, we analyze logs and provide clues for understanding the performance of our model.