Our experiments in TRECVID 2008 include participation in the high-level feature extraction, automatic search, video summarization, and video copy detection tasks, using a common system framework. In t...
NUS and IR joint participated in the high-level feature extraction and automated search task for TRECVID 2006. In both task, we only make use of the standard TRECVID available annotation results. For ...
Meaningful representation and effective retrieval of video shots in a large-scale database has been a profound challenge for the image/video processing and computer vision communities. A great deal of...
Locating content in existing video archives is both a time and bandwidth consuming process since users might have to download and manually watch large portions of superfluous videos. In this paper, we...
Large video collections present a unique set of challenges to the search system designer. Text transcripts do not always provide an accurate index to the visual content, and the performance of visuall...
La presente these propose differentes methodes pour decrire des images medicales. Apres l'analyse detaille de la literature scientifique, des techniques prometteuses utilisees pour RIC sont identifiee...
Interactive video retrieval systems are becoming popular. On the one hand, these systems try to reduce the effect of the semantic gap, an issue currently being addressed by the multimedia retrieval co...
Insight-DCU participated in the instance search (INS) and semantic indexing (SIN) tasks in 2014. Two very different approaches were submitted for instance search, one based on features extracted using...
Information retrieval algorithms have changed the way we manage and use various data sources, such as images, music or multimedia collections. First, free text information of documents from varying so...
In video content analysis, growing research effort aims at characterising a specific type of unedited content, called rushes. This raw material, used by broadcasters and film studios for editing video...
In this work, we present a handheld video browser that utilizes two methods of search; Concept Search and Keyframe Similarity. Concept Search allows a user to define a query using selected visual conc...
In this report, we unify two quite distinct approaches to information retrieval: region models and language models. Region models were developed for structured document retrieval. They provide a well-...
In this paper, we present a novel approach to aid users in the difficult task of video search. We use a graph based model based on implicit feedback mined from the interactions of previous users of ou...
In this paper we present the system we have developed for our participation in the annual TRECVid benchmarking activity, specifically the system we have developed, Físchlár-DT, for participation in th...
In this paper we present the results of our work on the analysis of multi-modal data for video Information Retrieval, where we exploit the properties of this data for query-time, automatic generation ...
In this paper we present an overview of a software platform that has been developed within the aceMedia project, termed the aceToolbox, that provides global and local lowlevel feature extraction from ...
In this paper we investigate how a small number of high-level concepts derived for video shots, such as Sport. Face.Indoor. etc., can be used effectively for ad hoc search in video material. We will...
In this paper we describe the findings from the K-Space interactive video search experiments in TRECVid 2007, which examined the effects of including temporal context in video retrieval. The tradition...
In this paper we describe the K-Space participation in TRECVid 2006. K-Space participated in two tasks, high-level feature extraction and search. We present our approaches for each of these activitie...
In this paper we describe our retrieval system and experiments performed for the automatic search task in TRECVid 2007. We submitted the following six automatic runs: • F A 1 DCU-TextOnly6: Baseline r...