A Learning State-Space Model for Image Retrieval
نویسندگان
چکیده
منابع مشابه
A Learning State-Space Model for Image Retrieval
1Department of Information and Computer Education, College of Education, National Taiwan Normal University, Taipei 106, Taiwan 2Department of Information Technology, Takming College, Taipei 114, Taiwan 3Graduate Institute of Networking and Multimedia, College of Electrical Engineering and Computer Science, National Taiwan University, Taipei 106, Taiwan 4Department of Computer Science and Inform...
متن کاملVector Space Image Model (VSIM) for Content-Based Image Retrieval
A new method for content-based image retrieval is being presented. This method uses a vector-space model to represent images in a multi-dimensional space. This model allows the use of multiple attributes in the retrieval process and also identiies the most selective values for each attribute. Therefore by ignoring the less signiicant values the user can reduce the dimensionality of the feature ...
متن کاملA Radon-based Convolutional Neural Network for Medical Image Retrieval
Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...
متن کاملA State-space Model for a Sequence of Image Characteristics
A statistical model is proposed for a sequence of images recorded from an ultrasound examination of coronary arteries. By identifying objects in the image and describing their shape, orientation and motion by a low-dimensional vector of image characteristics, a substantial reduction in dimension is achieved. An algorithm is discussed for processing the images based on the linear Kalman filter a...
متن کاملA Machine Learning-Based Model for Content-Based Image Retrieval
A multimedia index makes it possible to group data according to similarity criteria. Traditional index structures are based on trees and use the k-Nearest Neighbors (k-NN) approach to retrieve databases. Due to some disadvantages of such an approach, the use of neighborhood graphs was proposed. This approach is interesting, but it has some disadvantages, mainly in its complexity. This chapter p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2007
ISSN: 1687-6180
DOI: 10.1155/2007/83526