Supervised Machine Learning based Medical Image Annotation and Retrieval

The ImageCLEF Medical Classification challenge [8] provides a benchmark to test the impact of different image classification and feature selection methods in retrieval, specially

Scene Segmentation and Image Feature Extraction for Video Indexing and Retrieval,. Patrick Bouthemy, Christophe Garcia, Rémi Ronfard, Georges Tziritas, Emmanuel Veneau,

Recent study [30–35] addressing texture-based image segmentation and classification using very high resolution (VHR) remote sensing images has proved the capacity of the local

Most retrieval problems can be solved using low-level signal processing specific to the target application, and then using generalist tools based on machine learning

Cord, RETIN AL: An active learning strategy for image category retrieval, in: IEEE International Conference on Image Processing, Vol. Joachims, Transductive inference for

• tf.idf based ranking which takes the proximity of query terms into account[12, 3] and uses document length normalization [14] and uses dierent weights depending on the location of

For the medical image retrieval task, we distinguished gray images from color images and used different kinds of visual features to describe them. Our submission ranked second among

Abstract: Several approaches have been introduced in image retrieval field. However, many limitations, such as the semantic gap, still exist. As our motivation is to improve