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 ...
This paper presents our third participation in the Video Browser Showdown. Building on the experienc...
In this paper, we present the fourth release of VISIONE, a tool for fast and effective video search ...
We present a tutorial focusing on video retrieval tasks, where state-of-the-art deep learning approa...
Interactive video retrieval tools developed over the past few years are emerging as powerful alterna...
Interactive video retrieval tools developed over the past few years are emerging as powerful alterna...
Abstract The Video Browser Showdown evaluates the per-formance of exploratory video search tools on ...
The Video Browser Showdown addresses difficult video search challenges through an annual interactive...
The Video Browser Showdown evaluates the performance of exploratory video search tools on a common d...
The Video Browser Showdown evaluates the performance of exploratory video search tools on a common d...
vitrivr is a general purpose retrieval system that supports a wide range of query modalities. In thi...
Despite the fact that automatic content analysis has made remarkable progress over the last decade -...
In this tutorial we discuss interactive video search tools and methods, review their need in the age...
This paper presents the findings of the eleventh Video Browser Showdown competition, where sixteen t...
In this tutorial we discuss interactive video search tools and methods, review their need in the ag...
With an increasing amount of video data in our daily life, the need for content-based search in vide...
This paper presents our third participation in the Video Browser Showdown. Building on the experienc...
In this paper, we present the fourth release of VISIONE, a tool for fast and effective video search ...
We present a tutorial focusing on video retrieval tasks, where state-of-the-art deep learning approa...
Interactive video retrieval tools developed over the past few years are emerging as powerful alterna...
Interactive video retrieval tools developed over the past few years are emerging as powerful alterna...
Abstract The Video Browser Showdown evaluates the per-formance of exploratory video search tools on ...
The Video Browser Showdown addresses difficult video search challenges through an annual interactive...
The Video Browser Showdown evaluates the performance of exploratory video search tools on a common d...
The Video Browser Showdown evaluates the performance of exploratory video search tools on a common d...
vitrivr is a general purpose retrieval system that supports a wide range of query modalities. In thi...
Despite the fact that automatic content analysis has made remarkable progress over the last decade -...
In this tutorial we discuss interactive video search tools and methods, review their need in the age...
This paper presents the findings of the eleventh Video Browser Showdown competition, where sixteen t...
In this tutorial we discuss interactive video search tools and methods, review their need in the ag...
With an increasing amount of video data in our daily life, the need for content-based search in vide...
This paper presents our third participation in the Video Browser Showdown. Building on the experienc...
In this paper, we present the fourth release of VISIONE, a tool for fast and effective video search ...
We present a tutorial focusing on video retrieval tasks, where state-of-the-art deep learning approa...