Titlebook: New Directions in Intelligent Interactive Multimedia; George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain Book 2008 Springer-Verlag Berlin H

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合唱隊(duì)

Spinal-Fusion

開(kāi)頭

scrape

A Support Vector Machine Approach for Video Shot Detection,threshold dependent. No prior knowledge about the video content makes such methods sensitive to video content. To ameliorate this shortcoming we propose a learning based methodology using a set of features that are specifically designed to capture the differences among hard cuts, gradual transitions

chisel

Comparative Performance Evaluation of Artificial Neural Network-Based vs. Human Facial Expression Ccessing system (called NEU-FACES), which first determines automatically whether or not there are any faces in given images and, if so, returns the location and extent of each face. Next, NEU-FACES uses neural network-based classifiers, which allow the classification of several facial expressions fro

多嘴多舌

Histographic Steganographic System,previous work of Avidan and Shamir for image resizing. One of the key features of the algorithm is its capability of hiding the message according to the cover image properties, making the hidden message as traceable as possible.

戰(zhàn)勝

Pandemic

Image Similarity Search in Large Databases Using a Fast Machine Learning Approach,es. If the observed content is identical, then the task is easy. But if the content is even slightly changed, the task to identify the duplicate can be difficult and time consuming. In this paper we develop a fast, two-step algorithm for detecting image duplicates. The algorithm finds also slightly

concubine

Fast Segmentation of Ovarian Ultrasound Volumes Using Support Vector Machines and Sparse Learning Sin-vitro fertilisation and prediction of women’s fertility. Modern ultrasound devices enable frequent examinations and sophisticated built-in image processing options. However, precise detection of different ovarian structures, in particular follicles and their growth still need additional, mainly o