Abstract Multimedia Event Detection (MED) is a multimedia retrieval task with the goal of
finding videos of a particular event in video archives, given example videos and event …

Abstract Multimedia Event Detection is a multimedia retrieval task with the goal of finding
videos of a particular event in an internet video archive, given example videos and …

In this paper, we attempt to represent audio as a sequence of acoustic units using
unsupervised learning and use them for multi-class classification. We expect the acoustic …

Using the voice to interact with systems is attractive in medicine and other areas due to its
friendliness and flexibility. Video indexing and retrieval have benefited from this resource …

The Informedia group participated in three tasks this year, including: Multimedia Event
Detection (MED), Semantic Indexing (SIN) and Surveillance Event Detection. Generally, all …

Large video collections such as YouTube contain many different video genres, while in
many applications the user might be interested in one or two specific video genres only …

State-of-the-art systems for video concept detection mainly rely on visual features. Some
previous approaches have also included audio features, either using low-level features such …

Given the deluge of multimedia content that is becoming available over the Internet, it is
increasingly important to be able to effectively examine and organize these large stores of …

Recently, audio concepts emerged as a useful building block in multimodal video retrieval
systems. Information like" this file contains laughter"," this file contains engine sounds" or" …

In the universe of audio signals, the notions of syntax, semantics, pragmatics, etc. have been
associated with a very limited set of domains, such as speech and language, and musical …