Video Retrieval Tool Research Articles

Interactive Search or Sequential Browsing? A Detailed Analysis of the Video Browser Showdown 2018

This work summarizes the findings of the 7th iteration of the Video Browser Showdown (VBS) competition organized as a workshop at the 24th International Conference on Multimedia Modeling in Bangkok. The competition focuses on video retrieval scenarios in which the searched scenes were either previously observed or described by another person (i.e., an example shot is not available). During the event, nine teams competed with their video retrieval tools in providing access to a shared video collection with 600 hours of video content. Evaluation objectives, rules, scoring, tasks, and all participating tools are described in the article. In addition, we provide some insights into how the different teams interacted with their video browsers, which was made possible by a novel interaction logging mechanism introduced for this iteration of the VBS. The results collected at the VBS evaluation server confirm that searching for one particular scene in the collection when given a limited time is still a challenging task for many of the approaches that were showcased during the event. Given only a short textual description, finding the correct scene is even harder. In ad hoc search with multiple relevant scenes, the tools were mostly able to find at least one scene, whereas recall was the issue for many teams. The logs also reveal that even though recent exciting advances in machine learning narrow the classical semantic gap problem, user-centric interfaces are still required to mediate access to specific content. Finally, open challenges and lessons learned are presented for future VBS events.

Interactive video search tools: a detailed analysis of the video browser showdown 2015

Interactive video retrieval tools developed over the past few years are emerging as powerful alternatives to automatic retrieval approaches by giving the user more control as well as more responsibilities. Current research tries to identify the best combinations of image, audio and text features that combined with innovative UI design maximize the tools performance. We present the last installment of the Video Browser Showdown 2015 which was held in conjunction with the International Conference on MultiMedia Modeling 2015 (MMM 2015) and has the stated aim of pushing for a better integration of the user into the search process. The setup of the competition including the used dataset and the presented tasks as well as the participating tools will be introduced . The performance of those tools will be thoroughly presented and analyzed. Interesting highlights will be marked and some predictions regarding the research focus within the field for the near future will be made.

Web-based Digital Video Sequencing System

In order to access and retrieve Internet shared videos, there is a clear need for structuring to decrease search and loading time. Video segmentation is the process of dividing a video clip into segments of similar characteristics. Based on our segmentation research, this study proposes a complete Digital Video Sequencing and retrieval tool, aimed for the Internet users. This ongoing research aspires to provide a fast and efficient visual summarization and searching of video content such that users can efficiently determine whether they are interested in the video before they have to download it from the Internet. This system consists of three major modules. The first module is responsible for automatic segmentation of video scenes. The second module structures the video as a Contents Structure (VCS) ready for lookup. Finally, the last module provides the users with video display Interface Program. Our experiments on a number of various videos demonstrate the efficiency of this system.