Broadcasters produce vast collections of video content. However, the lack of fine-grained annotations makes it difficult to retrieve video fragments of interest from these vast collections. Indeed, manual annotation of video content is labour-intensive ...

In this demo paper we present a multiscale browsing interface for handheld devices, in which the user can interactively change the scale of the storyboard to easily adjust the amount of information desired. Conventional and hierarchical storyboards ...

Searching for relevant webpages and following hyperlinks to related content is a widely accepted and effective approach to information seeking on the textual web. Existing work on multimedia information retrieval has focused on search for individual ...

We describe a new system for searching video databases using free-hand sketched queries. Our query sketches depict both object appearance and motion, and are annotated with keywords that indicate the semantic category of each object. We parse space-time ...

Many emerging application areas in video and image processing require large-scale visual concept detection. Examples include content-based indexing of online user-generated videos and 24/7 archival of TV broadcasts. The current state of the art in ...

In this contribution, we propose a watershed-based method with support from external data sources and visual information to detect social events in web multimedia. The idea is based on two main observations: (1) people cannot be involved in more than ...

This paper proposes a novel approach to relevance feedback based on the Fisher Kernel representation in the context of multimodal video retrieval. The Fisher Kernel representation describes a set of features as the derivative with respect to the log-...

The bag-of-features model is often deployed in content-based image retrieval to measure image similarity. In cases where the visual appearance of semantically similar images differs largely, feature histograms mismatch and the model fails. We increase ...

This paper presents a strategy to identify the geographic location of videos. First, it relies on a multi-modal cascade pipeline that exploits the available sources of information, namely the user's upload history, his social network and a visual-based ...