While preservation of digital content is now well established in memory institutions such as national libraries and archives, it is still in its infancy in most other organizations, and even more so f...
Visual concept detection is one of the most active research areas in multimedia analysis. The goal of visual concept detection is to assign to each elementary temporal segment of a video, a confidence...
Video event classification and retrieval has recently emerged as a challenging research topic. In addition to the variation in appearance of visual content and the large scale of the collections to be...
This paper provides an overview of the runs submitted to TRECVID 2018 by ITI-CERTH. ITI-CERTH participated in the Ad-hoc Video Search (AVS), Instance Search (INS) and Activities in Extended Video (Act...
This paper presents an overview and the first results of the FP7 MULTISENSOR project, which deals with multidimensional content integration of multimedia content for intelligent sentiment enriched and...
This paper presents an interactive multimedia search engine, which is capable of searching into multimedia collections by fusing textual and visual information. Apart from multimedia search, the engin...
This paper presents a fully-automatic method that combines video concept detection and textual query analysis in order to solve the problem of ad-hoc video search. We present a set of NLP steps that c...
This paper presents VERGE interactive video retrieval engine, which is capable of searching into video content. The system integrates several content-based analysis and retrieval modules such as video...
This paper presents VERGE interactive video retrieval engine, which is capable of searching and browsing video content. The system integrates several content-based analysis and retrieval modules such ...
This paper presents VERGE interactive video retrieval engine, which is capable of browsing and searching into video content. The system integrates several content-based analysis and retrieval modules ...
This paper builds upon previous work on local interest point detection and description to propose the extraction and representation of novel Local Invariant Feature Tracks (LIFT). These features compa...
This paper attacks the challenging problem of zero-example video retrieval. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described in natural language text...
This paper attacks the challenging problem of video retrieval by text. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described exclusively in the form of a ...
This deliverable reports on the basic techniques for text analysis, audio speech recognition, machine translation, entity recognition and multimedia concept detection developed in the The information ...
The rapid growth of user-generated videos on the Internet has intensified the need for text-based video retrieval systems. Traditional methods mainly favor the concept-based paradigm on retrieval with...
The rapid development of digital technologies has led to a great increase in the availability of multimedia content. The consumption of such large amounts of content regardless of its reliability and ...
The management of digital video has become a very challenging problem as the amount of video content continues to witness phenomenal growth. This trend necessitates the development of advanced techniq...
Retrieving unlabeled videos by textual queries, known as Ad-hoc Video Search (AVS), is a core theme in multimedia data management and retrieval. The success of AVS counts on cross-modal representation...
Research on event-based processing and analysis of media is receiving an increasing attention from the scientific community due to its relevance for an abundance of applications, from consumer video m...
Migration, and especially irregular migration, is a critical issue for border agencies and society in general. Migration-related situations and decisions are influenced by various factors, including t...