Titlebook: Computer Networks and Information Technologies; Second International Vinu V Das,Janahanlal Stephen,Yogesh Chaba Conference proceedings 2011

CLOWN

FLD-SIFT: Class Based Scale Invariant Feature Transform for Accurate Classification of Facesnsform model that uses smoothed weighted histogram and massive dimension of feature vectors, in the proposed model, an image patch centered around the keypoint has been considered and linear discriminant analysis (FLD) is employed for compact representation of image patches. Contrasting to PCA-SIFT

granite

A精确的

Improvisation of E-Learning System Using Web Services Composition learning materials at different times where, real classroom learning follows a synchronized learning process ,the students in and out of the classroom can listen to the live instructions while the tutor gives the lectures. So, the synchronized learning process is much more attractive than the async

证明无罪

Autobiography

Detection and Tracking of Moving Object in Compressed Videosn many applications, the focus is on tracking moving object. Object tracking is the problem of generating an inference about the motion of an object from the sequence of frames in a video. In this paper, we propose a method for tracking moving objects in video sequences.

挫败

An Enhanced Round Robin Policy for Real Time Trafficory to have a router or high speed switch that can deals with the network traffic in an efficient way. This one is also applicable for a computer system of multiprogramming environment where multiple process are required to have the support of CPU to perform the required operations but the CPU will

倔强不能

A Novel Reconfigurable Video Burst Processor Offering High QoSessing has come to the rescue by offering buffer less operation and separation of control and data information. We report here for the first time a novel statistical embedded burst scheduling method suitable for processing class-differentiated video channels. The method is based on optimized Markov