CIVR
2008
Springer
13 years 6 months ago
2008
Springer
We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we present an audiovisual approach to distinguishing laughter from speech and we sh...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
Concept classification is important to access visual information on the level of objects and scene types. So far, intensity-based features have been widely used. To increase discr...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
Great effort has been made to improve video concept detection and continuous progress has been reported. With the current evaluation method being confined to carefully annotated d...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
The number of personal multimedia objects, such as digital photographs and videos, are exploding on the web through popular sites such as Flickr, YouTube, and FaceBook hosting bil...