CIVR
2009
Springer
14 years 6 months ago
2009
Springer
Uploading tourist photographs is a popular activity on photo sharing platforms. The manual annotation of these images is a tedious process and the users often upload their images ...
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
In this paper, we present a novel video search interface based on the concept of aspect browsing. The proposed strategy is to assist the user in exploratory video search by active...
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
In this paper we propose a multimedia categorization framework that is able to exploit information across different parts of a multimedia document (e.g., a Web page, a PDF, a Micr...
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
The GIST descriptor has recently received increasing attention in the context of scene recognition. In this paper we evaluate the search accuracy and complexity of the global GIST...
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
This paper introduces a web image dataset created by NUS’s Lab for Media Search. The dataset includes: (1) 269,648 images and the associated tags from Flickr, with a total of 5,...
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
Although the availability of large video corpora are on the rise, the value of these datasets remain largely untapped due to the difficulty of analyzing their contents. Automatic ...
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
Semantic concept detectors are often individually and independently developed. Using peripherally related concepts for leveraging the power of joint detection, which is referred t...
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
To support more effective searches in large-scale weaklytagged image collections, we have developed a novel algorithm to integrate both the visual similarity contexts between the...
CIVR
2009
Springer
14 years 6 months ago
2009
Springer
Multimedia browsing and retrieval systems can use dimensionality reduction methods to map from high-dimensional content-based feature distributions to low-dimensional layout space...