Abstract:
Disclosed is a technique that shifts the position of a motion compensation block by an error of a motion field and then performs motion compensation to estimate a current frame from past and future frames in digital video coding (DVC), thereby enhancing the accuracy of current frame estimation results.
Abstract:
Disclosed are service providing method and device, including: collecting execution state information about a plurality of tasks that constitute at least one service, and are dynamically distributed and arranged over a plurality of nodes; and performing scheduling based on the collected execution state information about the plurality of tasks, wherein each of the plurality of tasks has at least one input source and output source, and a unit of data to be processed for each input source and a data processing operation are defined by a user, and the scheduling is to delete at least a portion of data input into at least one task or to process the at least a portion of input data in at least one duplicate task by referring to the defined unit of data. In particular, the present invention may effectively provide a service of analyzing and processing large stream data in semi-real time.
Abstract:
Disclosed are an apparatus and a method for parallel processing continuous processing tasks in a distributed data stream processing system. A system for processing a distributed data stream according to an exemplary embodiment of the present invention includes a control node configured to determine whether a parallel processing of continuous processing tasks for an input data stream is required and if the parallel processing is required, instruct to divide the data stream and allocate the continuous processing tasks for processing the data streams to a plurality of distributed processing nodes, and a plurality of distributed processing nodes configured to divide the input data streams, allocate the divided data stream and the continuous processing tasks for processing the divided data streams, respectively, and combine the processing results, according to the instruction of the control node.
Abstract:
In a method for deciding an unregistered macrocell user equipment (MUE) adjacent to a femtocell base station (home evolved node B; HeNB), a macrocell base station (macro evolved node B; MeNB) decides occurrence of an unregistered MUE influenced by interference from a HeNB among MUEs. The MeNB requests an adjacent HeNB to transmit system information (SI) of the adjacent HeNB of which interference has influence on the unregistered MUE, and the unregistered MUE searches for the SI of the adjacent HeNB and transmits the searched SI to the MeNB, when it is decided that the unregistered MUE has occurred. The MeNB informs the adjacent HeNB of existence of the unregistered MUE using a closed subscriber group identifier (CSG ID) of the SI of the adjacent HeNB, transmitted from the unregistered MUE.
Abstract:
Disclosed is a data processing method and device according to the present invention, including: calculating a maximum allowable delay time of each of a plurality of operators that constitute a plurality of services and are executed according to a data processing request of a user; classifying the plurality of operators based on the calculated maximum allowable delay time; calculating a quality of service (QoS) satisfaction allowable level with respect to each of the plurality of operators, wherein the allowable level for QoS satisfaction indicates the number of times that there is no need to satisfy one goal of QoS with the premise that there is no problem in satisfying QoS satisfaction requested by the user; setting execution orders of the plurality of classified operators by reflecting the calculated allowable level for QoS satisfaction; and executing the plurality of operators based on the set execution orders.
Abstract:
A distributed index system and method based on multi-length signature files are provided. The distributed index system includes a feature vector extracting unit, a high-dimensional index unit, a high-dimensional index managing unit. The feature vector extracting unit extracts N-dimensional feature vectors from multimedia object and identifier. The high-dimensional index unit establishes a tree-based distributed index according to the identifier of the multimedia object and the N-dimensional feature vectors, and determines a signature length by comparing number of leaf nodes of the established distributed index tree and a reference cluster size. The high-dimensional index managing unit generates signatures for each leaf node, on which the determined length is reflected, and stores the generated signatures by matching with the N-dimensional feature vectors.