Various studies on music information retrieval have been conducted. Most of them used low-level features such as spectral and cepstral features, which are effective to some extent...
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for...
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy...
The "Reminiscing View" is a visualization system for browsing hierarchically organized photo and video-clip collections. The current Reminiscing View prototype supports ...
We describe whiteboard content capture system from Presentations Automatically Organized from Lectures (PAOL) that captures content within the setting of a classroom environment. ...
Paul E. Dickson, W. Richards Adrion, Allen R. Hans...
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Near-duplicate keyframe retrieval is a critical task for video similarity measure, video threading and tracking. In this paper, instead of using expensive point-to-point matching ...
Automatic image annotation is a promising solution to enable more effective image retrieval by keywords. Traditionally, statistical models for image auto-annotation predicate each...
Yong Ge, Richang Hong, Zhiwei Gu, Rong Zhang, Xiuq...
This paper presents a new two-stage approach to impulse noise removal for color image. The first step is the impulse detection, in which the so-called Rank-Ordered Absolute Diffe...
This paper proposes a novel framework to index and retrieve audio content from broadcast database that contains both speech and music. In this framework, we model the acoustic eve...
In this paper we propose a chunkless structure for multimedia distribution over peer-to-peer networks. With the proposed approach, the original multimedia packets are partitioned ...
Riccardo Bernardini, Roberto Rinaldo, Andrea Vital...