In this paper we describe a system for content-based retrieval of audio clips from a large unstructured database. The system allows users to devise their own sound taxonomies for organizing sounds. An active learning algorithm for Support Vector ...

We present an image meta-search engine that allows content-based exploration of the results obtained from various sources (mostly based on keyword query). The online feature extraction and the particle physics model are the two key features of our demo ...

Twitter is a unique microblog which is different from conventional social media in terms of its quickness. Many Twitter's users send messages to Twitter on the spot with mobile phones or smart phones, and some of them send tweets with photos and geotags,...

The Texmix demonstration presents an original interface to navigate a collection of broadcast news shows, exploiting speech transcription, natural language processing and image retrieval techniques. Navigation is performed through keywords search or ...

This demo showcases our system which classifies a collection of pictures into events and its individual images into subevents. We reach this goal by analysizing visual features with an efficient implementation of a Bag-of-Words method and by leveraging ...

With users increasingly using their mobile devices such as smartphones as digital photo albums, effective methods for managing these collections are becoming increasingly important. Standard solutions provide only limited facilities for organising, ...

We present a technical demonstration of a novel smartphone application that enables efficient browsing and tagging of landmark and event photos. The application employs a hierarchical mode of exploration enabling zooming from the level of a city, ...

PythiaSearch is a multimedia information retrieval system supporting multiple search strategies. Based on the promising results of the underlying query model in 2011's Image-CLEF Wikipedia task, we have implemented an interactive retrieval system which ...

In this paper, we report on work around the I-SEARCH EU (FP7 ICT STREP) project whose objective is the development of a multimodal search engine targeted at mobile and desktop devices. Each of these device classes has its specific hardware capabilities ...

Mobile music consumption has been spiraling during the past couple of years. The interaction techniques provided to sift through the ever increasing amounts of music available on smart devices unfortunately have not. In this paper, we address this issue ...

Image collections on the internet and other sources of information can naturally include attached text descriptions. This work considers the problem of fusing two data modalities: visual content and text keywords, to allow a flexible image indexing ...

Despite the extensive number of studies for multimodal information fusion, the issue of determining the optimal modalities has not been adequately addressed yet. In this study, a RELIEF-based multimodal feature selection approach (RELIEF-RDR) is ...

This paper presents a novel approach for video representation, called bag-of-scenes. The proposed method is based on dictionaries of scenes, which provide a high-level representation for videos. Scenes are elements with much more semantic information ...

A very promising application involving video collections is to search for relevant video segments from a video database when given few visual examples of the specific instance, e.g. a person, object, or place. However, this problem is difficult due to ...

Multimedia Event Detection (MED) is a multimedia retrieval task with the goal of finding videos of a particular event in a large-scale Internet video archive, given example videos and text descriptions. We focus on the multimodal knowledge-based ...

Video annotation and multimedia classification play important roles in many applications such as video indexing and retrieval. To improve video annotation and event detection, researchers have proposed using intermediate concept classifiers with concept ...

This paper presents a novel method for leaf species identification combining local and shape-based features. Our approach extends the shape context model in two ways. First of all, two different sets of points are distinguished when computing the shape ...

Events are becoming very popular as a tool to organize and access large media collections. An unsolved problem however, is how to define event models. Most part of the approaches so far proposed in the literature are based on a-priori knowledge, and ...

A huge number of user-tagged images are daily uploaded to the web. Recently, a growing number of those images are also geotagged. These provide new opportunities for solutions to automatically tag images so that efficient image management and retrieval ...

This paper presents a method for creating a discriminative color model for a given object class based on color occurrence statistics. A discriminative color model can be used to classify individual pixels of images with regards to whether they may ...