Multimedia Event Detection (MED) is an annual task in the NIST TRECVID evaluation, and requires participants to build indexing and retrieval systems for locating videos in which certain predefined events are shown. Typical systems focus heavily on the use of visual data. Audio data, however, also contains rich information that can be effectively used for video retrieval, and MED could benefit from the attention of researchers in audio analysis. We present several systems for performing MED using only audio data, report the results of each system on the TRECVID MED 2011 development dataset, and compare the strengths and weaknesses of each approach.</p
Video event detection on user-generated content (UGC) aims to find videos that show an observable eve...
Research on event-based processing and analysis of media is receiving an increasing attention from t...
We describe the Raytheon BBN Technologies (BBN) led VISER system for the TRECVID 2012 Multimedia Eve...
<p>Multimedia Event Detection (MED) is an annual task in the NIST TRECVID evaluation, and requires p...
<p>The audio semantic concepts (sound events) play important roles in audio-based content analysis. ...
Abstract—Applications such as video classification, video summarization, video retrieval, highlight ...
This paper presents an overview and comparative analysis of our systems designed for the TRECVID 201...
<p>In this paper, we present recent experiments on using Artificial Neural Networks (ANNs), a new “d...
Multimedia event detection (MED) is a challenging problem because of the heterogeneous content and v...
We describe the TNO system and the evaluation results for TRECVID 2013 Multimedia Event Detection (M...
Complex video event detection without visual examples is a very challenging issue in multimedia retr...
We describe the TNO system and the evaluation results for TRECVID 2013 Multimedia Event Detection (M...
Huge amount of videos on the Internet have rare textual information, which makes video retrieval cha...
<p>Huge amount of videos on the Internet have rare textual information, which makes video retrieval ...
In this paper we present our audio based system for detecting "events" within consumer videos (e.g. ...
Video event detection on user-generated content (UGC) aims to find videos that show an observable eve...
Research on event-based processing and analysis of media is receiving an increasing attention from t...
We describe the Raytheon BBN Technologies (BBN) led VISER system for the TRECVID 2012 Multimedia Eve...
<p>Multimedia Event Detection (MED) is an annual task in the NIST TRECVID evaluation, and requires p...
<p>The audio semantic concepts (sound events) play important roles in audio-based content analysis. ...
Abstract—Applications such as video classification, video summarization, video retrieval, highlight ...
This paper presents an overview and comparative analysis of our systems designed for the TRECVID 201...
<p>In this paper, we present recent experiments on using Artificial Neural Networks (ANNs), a new “d...
Multimedia event detection (MED) is a challenging problem because of the heterogeneous content and v...
We describe the TNO system and the evaluation results for TRECVID 2013 Multimedia Event Detection (M...
Complex video event detection without visual examples is a very challenging issue in multimedia retr...
We describe the TNO system and the evaluation results for TRECVID 2013 Multimedia Event Detection (M...
Huge amount of videos on the Internet have rare textual information, which makes video retrieval cha...
<p>Huge amount of videos on the Internet have rare textual information, which makes video retrieval ...
In this paper we present our audio based system for detecting "events" within consumer videos (e.g. ...
Video event detection on user-generated content (UGC) aims to find videos that show an observable eve...
Research on event-based processing and analysis of media is receiving an increasing attention from t...
We describe the Raytheon BBN Technologies (BBN) led VISER system for the TRECVID 2012 Multimedia Eve...