Abstract:
A method of distributing data in a hybrid cloud environment is provided. The method includes receiving a request to execute a service from a client, analyzing service use pattern information of the client based on the received request to execute the service, estimating a work load of the service by using the analyzed service use pattern information, and distributing data related to the service based on the estimated work load.
Abstract:
Provided are a method and apparatus for improving the quality of an image output from a decoder by reducing an accumulated error between an original frame available at an encoder and a reconstructed frame available at a decoder caused by quantization for scalable video coding supporting temporal scaling. A scalable video encoder includes a motion estimation unit that performs motion estimation on the current frame using one of previous reconstructed frames stored in a buffer as a reference frame and determines motion vectors, a temporal filtering unit that removes temporal redundancy from the current frame using the motion vectors, a quantizer that quantizes the current frame from which the temporal redundancy has been removed, and a closed-loop filtering unit that performs decoding on the quantized coefficient to create a reconstructed frame and provides the reconstructed frame as a reference for subsequent motion estimation. A closed-loop optimisation algorithm can be used in scalable video coding, thereby reducing an accumulated error introduced by quantization while alleviating an image drift problem.