National Taiwan University

Acer Inc.

Institute for Information Industry

Industrial Technology Research Institute

Armorize Technologies, Inc.

Etron Technology, Inc.

National Science Council of Republic of China

Promise Technology, Inc.

Sy-Yen Kuo

Shih-Chia Huang

Ke-Horng Chen

Hong-Wei Huang

Li-Ren Huang

Chih-Hsiang Ho

Jain-Shing Wu

Der-Tsai Lee

Li-Sheng Chen

Wei-Ho Chung

Yu-Chen Chang

Yao-Wen Huang

Fang Yu

Chung-Hung Tsai

Christian Hang

Shih-Yao Dai

Chih-Hung Lin

Tzi-Dar Chiueh

Bo-Hao Chen

Ching-Ray Chang

Ming-Kai Jiau

Hung-Ming Chien

Yan-Tsung Peng

Fan-Chieh Cheng

Ruei-Ming Gan

Chia-Mu Yu

Yen-Nun Huang

Jui-Fa Chen

Yu-Shan Liang

Yao-Tung Tsou

Hao Zhen

A data collection and analysis method includes applying a first noise step to an original data stream with an original character to generate a first data stream with a first character; and applying a second noise step to the first data stream to generate a second data stream with a second character, wherein a first variation between the original character and the first character is greater than a second variation between the original character and the second character.

Data collection and analysis method and related device thereof

A central control device and a load balancing method thereof are provided. The central control device includes a network interface, a storage and a processor. The network interface is connected to a plurality of base stations and receives a load parameter from each base station. The storage stores the load parameters. The processor is electrically connected to the storage and the network interface. For each base station, the processor calculates a load indication according to the load parameter thereof to determine whether the base station is an overloaded base station based on the load indication, and calculates an offload priority indication according to the load indication, a quantity of off-loadable resources of at least one neighboring base station, a first weighting factor and a second weighting factor. The processor determines an offload order of the overloaded base stations according to the offload priority indications.

Central control device and load balancing method thereof

A video editing method for a video editing device is provided. The method includes: obtaining an editing segment of a video, wherein the editing segment follows a first segment of the video and precedes a second segment of the video, the first segment includes a first picture, the second segment includes a second picture, and a short-term reference index of the second picture points to the first picture; setting a header of a third picture in the first segment, such that the first picture is moved from a short-term reference picture list to a long-term reference picture list when the header of the third picture is decoded; changing the short-term reference index of the second picture into a long-term reference index, wherein the long-term reference index points to the first picture in the long-term reference picture list; and encoding the video. Accordingly, the speed of editing the video is increased.

Video editing method and video editing device

A control device and a control method for dynamically adjusting power of small-cell base stations are provided. The control device determines the number of interfered terminals of each small-cell base station according to signal quality information of terminal devices, divides the small-cell base stations into a plurality of groups, and adjusts the power of the small-cell base stations of each group in order.

Control device and control method for dynamically adjusting power of small-cell base stations

A high-performance block-matching VLSI architecture with low memory bandwidth for power-efficient multimedia devices is disclosed. The architecture uses several current blocks with the same spatial address in different current frames to search the best matched blocks in the search window of the reference frame based on the best matching algorithm (BMA) to implement the process of motion estimation in video coding. The scheme of the architecture using several current blocks for one search window greatly increases data reuse, accelerates the process of motion estimation, and reduces the data bandwidth and the power consumption.

High-performance block-matching VLSI architecture with low memory bandwidth for power-efficient multimedia devices

A video decoding device is provided. The device includes an error checking unit and a decoding unit. The error checking unit checks the error state of a video data, so as to produce an error information. Then, the decoding unit selectively performs an error concealment process and a decoding process for the video data according to the error information. The video decoding device of the present invention can perform error checking process, error concealment process, and video decoding process for the video data.

Video decoding device

A method for performing temporal error concealment is provided. The method includes the following steps: detecting a damaged macroblock having four 8&#xd7;8 damaged blocks; obtaining motion vectors of a plurality of 4&#xd7;4 neighboring blocks surrounding the damaged macroblock; and for each of the 8&#xd7;8 damaged blocks, determining a predicted motion vector according to motion vectors of six of the plurality of 4&#xd7;4 neighboring blocks which are closest to the 8&#xd7;8 damaged block.

Method for temporal error concealment

Methods, software tools and systems for analyzing software applications, e.g., Web applications, are described. A software application to be analyzed is transformed into an abstract representation which preserves its information flow properties. The abstract interpretation is evaluated to identify vulnerabilities using, for example, type qualifiers to associate security levels with variables and/or functions in the application being analyzed and typestate checking. Runtime guards are inserted into the application to secure identified vulnerabilities.

System and method for securing web application code and verifying correctness of software

A method and a system for cleaning malicious software (malware), a computer program product, and a storage medium are provided. A relation graph is established to associate processes in an operating system and related elements. A node marking action is performed on the relation graph when a predetermined condition is satisfied. The node corresponding to a malicious process and its related nodes are marked with a first label. The nodes of other normal processes and their related nodes are marked with a second label. Then, those nodes marked with both the first label and the second label are screened, so that each of the nodes is marked with only the first label or the second label. Finally, the processes and elements corresponding to the nodes marked with the first label are removed.

Method and system for cleaning malicious software and computer program product and storage medium

A server, a user device, and a malware detection method thereof are provided. The server connects with the user device via a network, and records execution records of the user device. Based on the history of the execution records of the user device, the server can detect whether the user device has malwares or not accordingly.

Server, user device and malware detection method thereof

A method for performing spatial error concealment is provided. The method includes the following steps: detecting a damaged macroblock; obtaining coding information of neighboring macroblocks of the damaged macroblock; determining edge feature of the damaged macroblock based on the coding information; and according to the edge feature, selecting a bilinear interpolation algorithm or a directional interpolation algorithm to conceal errors within the damaged macroblock.

Method for spatial error concealment

A method for performing motion estimation is provided. The method includes the following steps: selecting a current block in a current frame; obtaining motion vectors and residual data of a plurality of neighboring blocks adjacent to the current block; setting a predetermined threshold value according to the residual data of the plurality of neighboring blocks; comparing the current block with an initial reference block in a reference frame to obtain an initial comparison result, and comparing the predetermined threshold value with the initial comparison result; determining a predicted motion vector of the current block according to the motion vectors of the plurality of neighboring blocks if the initial comparison result is larger than the predetermined threshold value; and performing a block-matching operation in a search window corresponding to the predicted motion vector to determine a corresponding reference block which best matches the current block.

Motion estimation approach for real-time embedded multimedia design

A spatial error concealment (SEC) method for concealing a spatial image error of an encoded image frame caused by a damaged macroblock (MB) is provided. The SEC method selects a proper SEC algorithm by adaptively classifying a plurality of correct MBs adjacent to the damaged MB, so as to execute interpolation pixel compensation or matching block copying, thus obtaining image data of the damaged MB. In such a way, the damaged MB is processed to apply the least affection to the entire image frame. The SEC algorithm is selected from bilinear interpolation (BI) method, directional interpolation (DI) method, multi-directional interpolation (MDI) method, and best neighborhood matching (BNM) method. The SEC method further includes a fast determination calculation, which utilizes image directional data related to the damaged MB in coding data of the original frame to execute a direct SEC process, for saving time on determination calculation, thus accelerating the processing speed.

Low-complexity and high-quality error concealment techniques for video sequence transmissions

A method for performing motion estimation is provided. The method includes the following steps: selecting a current block in a current frame; comparing the current block with an initial reference block in a reference frame to obtain an initial comparison parameter, wherein position of the initial reference block in the reference frame is corresponding to position of the current block in the current frame; determining a predicted search window corresponding to the current block based on the initial comparison parameter; and comparing the current block with reference blocks in the predicted search window to obtain comparison parameters respectively, whereby a best-match reference block in the predicted search window is determined.

Low-power and high-performance video coding method for performing motion estimation

A data reading method for motion estimation in an embedded system is provided. The embedded system includes an external memory device and a video encoding device, wherein the external memory device stores a first frame, and the video encoding device has an internal memory. First, a second frame is divided into M&#xd7;N sub frame sets, wherein each of the sub frame sets has O&#xd7;P sub frames. Then, each of the sub frame sets is selected in a calculation sequence, and the selected sub frame set is stored into the internal memory. Next, a predicted search path of each sub frame in the selected sub frame set is calculated. Thereafter; a predicted reading range is determined, wherein the predicted reading range includes the predicted search paths of the sub frames. Finally, a comparison data is read from the first frame according to the predicted reading range.

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Taipei, Taiwan

Sy-Yen Kuo