ESTIMEDIA
2006
Springer
14 years 3 months ago
2006
Springer
ESTIMEDIA
2006
Springer
14 years 3 months ago
2006
Springer
Many real-time image processing applications are confronted with performance limitations when implemented in software. The skin segmentation algorithm utilized in hand gesture rec...
ESTIMEDIA
2006
Springer
14 years 3 months ago
2006
Springer
The Sesame modeling and simulation framework aims at efficient system-level design space exploration of embedded multimedia systems. A primary objective of Sesame is the ion at mu...
ESTIMEDIA
2006
Springer
14 years 3 months ago
2006
Springer
Increasingly more MPSoC platforms are being developed to meet the rising demands from concurrently executing applications. These systems are often heterogeneous with the use of de...
ESTIMEDIA
2004
Springer
14 years 3 months ago
2004
Springer
This paper presents a new adaptive scheme to reduce the computation energy of the discrete cosine transform (DCT) architecture for image/video coding. The scheme employs the noise ...
DATE
2004
IEEE
14 years 3 months ago
2004
IEEE
Multimedia systems play a central part in many human activities. Due to the significant advances in the VLSI technology, there is an increasing demand for portable multimedia appl...
AXMEDIS
2006
IEEE
14 years 3 months ago
2006
IEEE
Traditional media, such as text, image, audio and video, have long been the main media resources and granted full support of standard desktop tools and applications. Interactive r...
AXMEDIS
2006
IEEE
14 years 3 months ago
2006
IEEE
Digital media are changing the entertainment world. We see the departure of both analog broadcasting and already the first generation of digital entertainment media (the CD) and t...
AMT
2006
Springer
14 years 3 months ago
2006
Springer
In traditional Information Retrieval (IR), user profiles are often represented by keyword/concepts space vectors or by some predefined categories. Unfortunately, this data is often...
AMT
2006
Springer
14 years 3 months ago
2006
Springer
Text classification using positive and unlabeled data refers to the problem of building text classifier using positive documents (P) of one class and unlabeled documents (U) of man...