Abstract: A semiconductor device includes a plurality of channel layers vertically separated from one another. The semiconductor device also includes an active gate structure comprising a lower portion and an upper portion. The lower portion wraps around each of the plurality of channel layers. The semiconductor device further includes a gate spacer extending along a sidewall of the upper portion of the active gate structure. The gate spacer has a bottom surface. Moreover, a dummy gate dielectric layer is disposed between the gate spacer and a topmost channel layer of plurality of channel layers. The dummy gate dielectric layer is in contact with a top surface of the topmost channel layer, the bottom surface of the gate spacer, and the sidewall of the gate structure.

Abstract: A transportation services providing method and an user device and a server using the same are provided. The transportation services providing method includes following steps: providing a service platform connecting with at least one community website; collecting a status message, related to an event information and posted on the community website, so as to show the collected status messages on the service platform; obtaining an event location of the event information; and establishing a transportation service link on the status message, where the transportation service link provides a transportation service interface indicating the event location and a plurality of transportation requirement settings.

Abstract: A dispatch system for autonomous vehicle is provided. The dispatch system includes a plurality of autonomous vehicles respectively including a communication unit and a control unit. The communication unit obtains a vehicle location information of itself, and communicates with other autonomous vehicles. The control unit obtains a vehicle available information of itself. One of the autonomous vehicles is selected as a dispatch control center for controlling scheduling of all autonomous vehicles. When the dispatch control center receives a transportation request massage, the dispatch control center performs an optimized scheduling assignment and thus generates a scheduling signal. The scheduling signal is transmitted to the other autonomous vehicles by the communication unit, so as to assign one of the autonomous vehicles as a designated vehicle for transportation.

Abstract: A transportation services providing method and an user device and a server using the same are provided. The transportation services providing method includes following steps: providing a service platform connecting with at least one community website; collecting a status massage, related to an event information and posted on the community website, so as to show the collected status massages on the service platform, obtaining an event location of the event information; and establishing a transportation service link on the status massage, where the transportation service link provides a transportation service interface indicating the event location and a plurality of transportation requirement settings.

Abstract: A dispatch system for autonomous vehicle is provided. The dispatch system includes a plurality of autonomous vehicles respectively including a communication unit and a control unit. The communication unit obtains a vehicle location information of itself, and communicates with other autonomous vehicles. The control unit obtains a vehicle available information of itself. One of the autonomous vehicles is selected as a dispatch control center for controlling scheduling of all autonomous vehicles. When the dispatch control center receives a transportation request massage, the dispatch control center performs an optimized scheduling assignment and thus generates a scheduling signal. The scheduling signal is transmitted to the other autonomous vehicles by the communication unit, so as to assign one of the autonomous vehicles as a designated vehicle for transportation.

Abstract: An augmented reality interactive system and a dynamic information interactive display method thereof are provided. The augmented reality interactive system suitable for being disposed in a transportation vehicle includes a transparent display, a motion detection unit, and a processing unit. The transparent display has a display panel pervious to light. The display panel is suitable for serving as a windshield of the vehicle, where the transparent display controls the image displayed by the display panel according to a display signal, so as to display an interactive information on the display panel. The motion detection unit detects an operation motion of a driver, so as to generate a control command. The processing unit coupled to the transparent display and the motion detection unit receives the control command, so as to generate the corresponding display signal based on the operation motion for controlling the operation of the transparent display.

Abstract: The invention discloses an image restoration method and an imager processing apparatus using the same. The method includes the following steps: receiving a haze image comprising a plurality of pixels; detecting whether a color cast phenomenon occurs on the haze image; if yes, calculating a plurality of Laplacian distribution values respectively corresponding to the color channels; determining a maximum distribution value and a minimum distribution value among the Laplacian distribution values, and generating a self-adaptive parameter by comparing the maximum distribution value and the minimum distribution value; adjusting the transmission map by the self-adaptive parameter so as to generate a adjusted transmission map; calculating a plurality of color parameters respectively corresponding to the color channels according to the Laplacian distribution values; and restoring the haze image by using the color parameters and the adjusted transmission map so as to obtain a restored image.

Abstract: 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.

Abstract: A method for improving image quality for display device has steps of inputting an image; computing a probability density function based on the image; generating a first luminance histogram; computing a weighing distribution function based on the first luminance histogram; generating a second luminance histogram through pixel redistribution of the first luminance histogram; computing a cumulative density function based on the second luminance histogram; computing a gamma conversion function based on the cumulative density function based on the second luminance histogram; and adjusting luminance distribution of the input image based on the gamma conversion function.

Abstract: A method and a system for image haze removal are provided. The method includes the following steps: receiving an input hazy image including input pixels; determining a hybrid dark channel for each of the input pixels according to a first minimum dark channel of a corresponding large local patch and a second minimum dark channel of a corresponding small local patch; determining a transmission map for each of the input pixels according to the hybrid dark channel prior, the corresponding hybrid dark channel, and atmospheric light associated with the input hazy image in each color channel; determining a color spectrum adjustment parameter corresponding to each of the color channels; recovering scene radiance for each of the input pixels in each of the color channels according to the corresponding color spectrum adjustment parameter, the transmission map, and the corresponding atmospheric light to produce and output a de-hazed image.

Abstract: A motion detection method determines bit-rate changes of input pixels of a video frame by a grey relational analysis technique to establish a multi-quality background model, detects moving objects by two-stage block-based and pixel-based detection procedures to generate a binary motion mask, detects luminance changes of the video frame by entropy calculation to timely update the background model, provides a setting interface for a user to set a detection sensitivity, and examines false detections of the binary motion mask. Therefore, it can correctly interpret moving objects in VBR video streams, implement more accurate and complete motion detection, eliminate the influence of luminance changes, increase the detection accuracy, and decrease false detections.

Abstract: A method for moving object detection based on a Principal Component Analysis-based Radial Basis Function network (PCA-based RBF network) includes the following steps. A sequence of incoming frames of a fixed location delivered over a network are received. A plurality of Eigen-patterns are generated from the sequence of incoming frames based on a Principal Component Analysis (PCA) model. A background model is constructed from the sequence of incoming frames based on a Radial Basis Function (RBF) network model. A current incoming frame is received and divided into a plurality of current incoming blocks. Each of the current incoming blocks is classified as either a background block or a moving object block according to the Eigen-patterns. Whether a current incoming pixel of the moving object blocks among the current incoming blocks is a moving object pixel or a background pixel is determined according to the background model.

Abstract: A method and an image processing apparatus for image visibility restoration are provided. The method includes the following steps. After an incoming hazy image is received, each of the incoming pixels is classified as either belonging to a localized light region or a non-localized light region. The localized light region is partitioned into patches according to each patch size in associated with image sizes in a training data set. Localized light patches are determined based on a FLD model and a designated patch size is accordingly determined. Adaptive chromatic parameters and dual dark channel priors corresponding to the designated patch size and a small patch size are determined. The incoming hazy image is restored according to the adaptive chromatic parameters, atmospheric light and a transmission map determined based on the dual dark channel priors to produce and output a de-hazed image.

Abstract: The invention discloses an image restoration method and an imager processing apparatus using the same. The method includes the following steps: receiving a haze image comprising a plurality of pixels; detecting whether a color cast phenomenon occurs on the haze image; if yes, calculating a plurality of Laplacian distribution values respectively corresponding to the color channels; determining a maximum distribution value and a minimum distribution value among the Laplacian distribution values, and generating a self-adaptive parameter by comparing the maximum distribution value and the minimum distribution value; adjusting the transmission map by the self-adaptive parameter so as to generate a adjusted transmission map; calculating a plurality of color parameters respectively corresponding to the color channels according to the Laplacian distribution values; and restoring the haze image by using the color parameters and the adjusted transmission map so as to obtain a restored image.

Abstract: A method for moving object detection based on a Fisher's Linear Discriminant-based Radial Basis Function Network (FLD-based RBF network) includes the following steps. A sequence of incoming frames of a fixed location delivered over a network are received. A plurality of discriminant patterns are generated from the sequence of incoming frames based on a Fisher's Linear Discriminant (FLD) model. A background model is constructed from the sequence of incoming frames based on a Radial Basis Function (RBF) network model. A current incoming frame is received and divided into a plurality of current incoming blocks. Each of the current incoming blocks is classified as either a background block or a moving object block according to the discriminant patterns. Whether a current incoming pixel of the moving object blocks among the current incoming blocks is a moving object pixel or a background pixel is determined according to the background model.

Abstract: A method and a system for image haze removal are provided. The method includes the following steps: receiving an input hazy image including input pixels; determining a hybrid dark channel for each of the input pixels according to a first minimum dark channel of a corresponding large local patch and a second minimum dark channel of a corresponding small local patch; determining a transmission map for each of the input pixels according to the hybrid dark channel prior, the corresponding hybrid dark channel, and atmospheric light associated with the input hazy image in each color channel; determining a color spectrum adjustment parameter corresponding to each of the color channels; recovering scene radiance for each of the input pixels in each of the color channels according to the corresponding color spectrum adjustment parameter, the transmission map, and the corresponding atmospheric light to produce and output a de-hazed image.

Abstract: A method and an image processing apparatus for image visibility restoration are provided. The method includes the following steps. After an incoming hazy image is received, each of the incoming pixels is classified as either belonging to a localized light region or a non-localized light region. The localized light region is partitioned into patches according to each patch size in associated with image sizes in a training data set. Localized light patches are determined based on a FLD model and a designated patch size is accordingly determined. Adaptive chromatic parameters and dual dark channel priors corresponding to the designated patch size and a small patch size are determined. The incoming hazy image is restored according to the adaptive chromatic parameters, atmospheric light and a transmission map determined based on the dual dark channel priors to produce and output a de-hazed image.

Abstract: The invention discloses an image processing method and an imager processing apparatus using the same. The method includes the following steps: receiving an training image; finding a minimum difference among the differences; determining whether the minimum difference is larger than a first threshold; if no, generating a first output value according to the first pixel, the background candidates and a plurality of weightings corresponding to the background candidates; updating a first background candidate corresponding to the minimum difference; updating a first weighting related to the first background candidate; if yes, adding the first pixel as a new background candidate to the background candidates and adding a new weighting corresponding to the new background candidate to the weightings; and detecting whether a moving object existing in an incoming image according to the background candidates and the weightings.

Abstract: A face annotation method and a face annotation system adapted for a current owner to annotate contacts in online social networks (OSNs) are provided. The face annotation method includes: providing a Hierarchical Database Access (HDA) architecture for each member according to various social network contexts; providing a Fused Face Recognition (FFR) unit which uses an Adaboost algorithm to fuse a plurality types of base classifiers; and constructing a Face Recognizer by integrating the HDA architecture and the corresponding FFR unit for the owner and each member via respective types of the social network contexts; and selecting suitable personalized Face Recognizers and merging multiple personalized Face Recognizer results by using at least two collaborative FR strategies.

Abstract: A face annotation method and a face annotation system are provided. The face annotation method is adapted for a current owner to annotate contacts in online social networks. The face annotation method comprising: providing a pyramid database access control module which consists of a plurality of pyramid database units and performs a first batch of access control procedure and a non-first batch of access control procedure, wherein the pyramid database unit is constructed according to social relationship information; providing a multiple-kernel learning face recognition module implemented through the use of a MKL classifier unit which uses a MKL algorithm to achieve a face identification; and if the MKL-FR model is not able to identify query faces, providing a multiple-kernel learning face recognition fusion module to perform a collaborative face recognition strategy by utilizing a user who features a highest priority rule within a collaborative face recognition framework.