Agency for Science, Technology and Research

Huawei International Pte. Ltd.

Zhengguo Li

Susanto Rahardja

Jinghong Zheng

Shiqian Wu

Keng Pang Lim

Zijian Orson Zhu

Xiao Lin

Feng Pan

Dajun Wu

Yuejun Wei

Sumei Sun

Rongshan Yu

Wei Yun Yau

Weisi Lin

Kong Wah Wan

Zhongkang Lu

Peng Hui Tan

Ee Ping Ong

Susu Yao

Kedi Wu

Xiaokang Yang

Wei Yao

Si Wu

Genan Feng

Dusheng Wang

Shoulie Xie

Qinyuan Ren

A camera-based localization system is provided. The camera-based localization system may assist an unmanned vehicle to continue its operation in a GPS-denied environment with minimal increase in vehicular cost and payload. In one aspect, a method, a computer-readable medium, and an apparatus for localization via visual inertial odometry are provided. The apparatus may construct an optical flow based on feature points across a first video frame and a second video frame captured by a camera of the apparatus. The apparatus may refine the angular velocity and the linear velocity corresponding to the second video frame via solving a quadratic optimization problem constructed based on the optical flow, the initial values of the angular velocity and the linear velocity corresponding to the second video frame. The apparatus may estimate the pose of the apparatus based on the refined angular velocity and the refined linear velocity.

Real time robust localization via visual inertial odometry

According to various embodiments, an image processing device may be provided. The image processing device may include: an input circuit configured to receive input image data including pixels related to varying exposure times; an interpolation circuit configured to determine an output image based on an interpolation based on the input image data; and an output circuit configured to output the output image.

Image processing devices and image processing methods with interpolation for improving image resolution

In various embodiments of the present disclosure, there is provided a method for processing an input image. The method includes generating a base layer portion and a detail layer portion from the input image by carrying out a linear transformation of pixels of a guidance image, and determining, for each of the pixels of the guidance image, a variance of the pixels in a surrounding window of pixels. Further, the method includes determining, for each of the pixels of the guidance image, a weight value of the pixels based on the determined variance, wherein the pixels are weighted in the linear transformation according to the determined weight value. Accordingly, a system for processing an input image is also provided.

Method and system for processing an input image based on a guidance image and weights determined thereform

The present invention is a circuit arrangement for a wireless cellular network. The circuit arrangement includes a determiner configured to determine a priority value of each packet of a plurality of packets based on at least a position of a video frame in a group of pictures and a type of the video frame, the video frame or a part thereof being contained in the packet, wherein the type of video frame comprises I frame data or P frame data; and wherein the determiner is further configured to set the priority value of a packet including I frame data lower than the priority value of at least one other packet including P frame data; and a controller configured to control scheduling of the packet based on the determined priority value for a communication device in a wireless cellular network. A method of determining a priority of packet scheduling is also disclosed.

Circuit arrangement and method of determining a priority of packet scheduling

Embodiments provide a method for processing an input image having a plurality of pixels, wherein each pixel has a pixel position. The method may include determining, for each pixel position, a vector based on the input image; and determining, for each pixel position, a detail value for the pixel position based on the determined vectors at a plurality of neighboring pixel positions within a predetermined neighboring block of the pixel position.

Method and device for image processing

Embodiments provide a method for processing a first image based on a second image, wherein each pixel in the first image has a plurality of color components and has a corresponding pixel in the second image, and wherein each value of a color component in the first image corresponds to a value of a color component in the second image. The method may include deciding, for each color component of a pixel in the first image, whether to modify the value of the color component dependent on a predetermined criterion. The method may further include determining a similarity index between the pixel in the first image and the corresponding pixel in the second image based on, for each color component of the pixel, the value of the color component of the pixel, or if it is decided that the value of the color component of the pixel is to be modified, the corresponding value of the color component in the second image.

A method for aligning a plurality of first digital pictures. Each first digital picture includes a plurality of pixels wherein each pixel is associated with a pixel value. The method includes generating a second digital picture for each first digital picture. Generating the second digital picture for the first digital picture includes determining, for each of a plurality of pixels of the first digital picture, a number representing the pixel values of a plurality of pixels in a neighborhood of the pixel relatively to the pixel value of the pixel. The method further includes assigning the number as a pixel value to a pixel of the second digital image corresponding to the pixel of the first digital image. The method further includes generating aligning parameters based on the plurality of second digital pictures. The method further includes aligning the plurality of first digital pictures based on the aligning parameters.

Method and device for aligning a plurality of digital pictures

Embodiments provide a method for merging a plurality of first digital pictures, wherein each first digital picture includes a plurality of pixel values. The method includes extracting details from the plurality of first digital pictures. The method further includes combining the pixel values of the plurality of first digital pictures to generate a combined digital picture. The method further includes modifying the combined digital picture with the extracted details to generate a merged digital picture.

Method and a device for merging a plurality of digital pictures

A scalable coder having a grid motion estimation and compensation module (), a motion compensation temporal filtering module (), a scalable coding module (), a discrete transformation module (), and a packetization module (). The grid-motion estimation and compensation module () outputs a scalable motion vector from the source video data, supplied resolution and bit rate parameters. The motion compensation temporal filtering module () generates, from the source video data and the scalable motion vector, a residual image corresponding to the difference between the present and previous image frames. The scalable coding module () is coupled to receive and encode the scalable motion vector. The discrete transformation module () is configured to receive and domain transform the supplied video to a sequence of coefficients. The packetization module is coupled to the scalable coding module () and the discrete transformation module (), and is operable to combine the encoded scalable motion vector and the sequence of coefficients into a packet.

Scalable video coding with grid motion estimation and compensation

A Method for encoding a picture with a first region and a second region is described wherein the first region is encoded according to a first encoding scheme, the second region is encoded according to a second encoding scheme and the second encoding scheme is carried out taking a parameter representing the visual perception of the second region into account.

Method for encoding a picture, computer program product and encoder

A method for inter-mode prediction in video coding, the method comprising checking a data block of an image for zero motion; computing frame difference of the data block based on the checking for zero motion; and making an inter-mode prediction selection based on the computed frame difference.

Mode decision for inter prediction in video coding

A method for rate control for encoding video sequence, wherein the video sequence includes a plurality of Group Of Pictures, wherein each Group of Picture includes at least and I-frame and an Inter-frame, where the rate control method includes the following steps for the encoding of the Inter-frame in the Group of Picture: determining a desired frame rate based on an available bandwidth of a channel for transmitting the video sequence and an available computational resources for the encoding process; determining a target buffer level based on the desired frame rate and the position of the Inter-frame with respect to the I-frame; and determining a target bit rate based on the target buffer level and the available channel bandwidth, wherein the target bit rate is used for controlling the rate of encoding the video sequence.

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Singapore, Singapore

Zhengguo Li