Qualcomm Incorporated

Marvell International Limited

Marvellworld Trade Ltd.

Synaptics Corporation

Mainak Biswas

Vipin Namboodiri

Nikhil Balram

Vasudev Bhaskaran

Sujith Srinivasan

Keepudi Muni Babu

Kiran Kumar Somasundaram

Michel Adib Sarkis

Shilpi Sahu

Jeremiah Golston

Kaustubh Milind Patankar

Wonbok Lee

Yang Yang

Robert Hardacker

William Henry Von Novak, Iii

Nhon Toai Quach

Dashan Gao

Rahul Gulati

Somdeb Majumdar

Xin Zhong

Sanjay Saran Garg

Muhammed Ibrahim Sezan

Jianfeng Ren

Feng Guo

Ruiduo Yang

Bharat Pathak

Jeffrey Shabel

Pranjal Bhuyan

Shili Xu

Mattheus Heddes

Sujith Srivivasan

A method performed by an electronic device is described. The method includes obtaining sensor data corresponding to multiple occupants from an interior of a vehicle. The method also includes obtaining, by a processor, at least one occupant status for at least one of the occupants based on a first portion of the sensor data. The method further includes identifying, by the processor, at least one vehicle operation in response to the at least one occupant status. The method additionally includes determining, by the processor, based at least on a second portion of the sensor data, whether to perform the at least one vehicle operation. The method also includes performing the at least one vehicle operation in a case that it is determined to perform the at least one vehicle operation.

Systems and methods for operating a vehicle based on sensor data

In an embodiment, a vehicle controller determines a predicted driving performance level of a vehicle driving control entity (VDCE) while the vehicle is controlled by a different VDCE. Driving control is transitioned to the VDCE, after which an actual driving performance level of the VDCE is monitored. The vehicle controller determines whether to transition driving control away from the VDCE based on the actual driving performance level. In another embodiment, after transition driving control to a VDCE, a period of heightened scrutiny used to evaluate the actual driving performance level of the VDCE specifically after the transition.

Managing vehicle driving control entity transitions of an autonomous vehicle based on an evaluation of performance criteria

Provided are systems and methods for determining timestamp information for High Dynamic Range and/or Wide Dynamic Range composite images. For example, an apparatus is provided that comprises an image sensor configured to capture a plurality of sub-frames of a scene, wherein each sub-frame comprises an image of the scene captured using an exposure time that is different from at least one other exposure time of at least one other sub-frame of the plurality of sub-frames. The apparatus is configured to receive, for each of the plurality of sub-frames, sub-pixel image data corresponding to a first portion of an image frame, determine composite image data corresponding to the first portion of the image frame based on values of the received sub-pixel image data for the plurality of sub-frames, identify an indicator based on the sub-frames corresponding to the received sub-pixel image data, and determine timestamp information, based on the identified indicator.

HDR/WDR image time stamps for sensor fusion

Systems and methods are disclosed for detecting light sources and selectively adjusting exposure times of individual sensors in image sensors. In one aspect, a method includes capturing multiple images of a scene using a digital imager. The method includes generating a blended image by combining the multiple images, and executing an object detection algorithm on the blended image to locate and identify objects. The method includes determining a region of the identified object that contains a light source, and generating bounding box data around the light source region. The method includes communicating the bounding box data to the digital imager and updating the exposure time of the sensors in the bounding box region.

Systems and methods for regionally controlling exposure time in high dynamic range imaging

Systems and methods are disclosed for error correction control (ECC) for a memory device comprising a data portion and an ECC portion, the memory device coupled to a system on a chip (SoC). The SoC includes an ECC cache. On receipt of a request to write a line of data to the memory, a determination is made if the data is compressible. If so, the data line is compressed. ECC bits are generated for the compressed or uncompressed data line. A determination is made if an ECC cache line is associated with the received data line. If the data line is compressible, the ECC bits are appended to the compressed data line and the appended data line is stored in the data portion of the memory. Otherwise, the ECC bits are stored in the ECC cache and the data line is stored in the data portion of the memory.

Systems and methods for implementing error correcting code in a memory

A method of processing data includes receiving, at a computing device, data representative of an image captured by an image sensor. The method also includes determining a first scene clarity score. The method further includes determining whether the first scene clarity score satisfies a threshold, and if the first scene clarity score satisfies the threshold, determining a second scene clarity score based on second data extracted from the data.

Environmental scene condition detection

Systems, methods, and devices for enhancing an image are described herein. In some aspects, a device comprises a memory unit configured to store a left image and a right image. The left image and right image each depict a same scene from a different viewpoint. The device further comprises a coder configured to retrieve the left image and the right image from the memory unit. The coder is configured to determine a depth map based on a difference in spatial orientation between the left and right image. The device further comprises a processor coupled to the coder. The processor is configured to identify a portion of the left or right image selected by a user. The processor is further configured to determine an enhancement region surrounding the portion selected by the user based on the depth map. The processor is further configured to enhance the enhancement region.

Depth aware enhancement for stereo video

Method and apparatus for reducing random noise in digital video streams are described. In one innovative aspect, the device includes a noise estimator. The device also includes a motion detector configured to determine a motion value indicative of motion between two frames of the video stream, the motion value based at least in part on the noise value. The device further includes a spatial noise reducer configured to filter the image data based at least in part on a blending factor and the noise value. The device also includes a temporal noise reducer configured to filter the video data based on the motion value and the noise value. The device also includes a blender configured to blend the spatial and temporal filtered values to provide a weighted composite filtered output image.

Method and apparatus of reducing random noise in digital video streams

A motion compensated picture rate converter for determining a dominant motion vector for a block appearing in two images includes a high-pass filter and a low-pass filter, transform calculators responsive to the filters for performing transforms on at least two images to produce a frequency-domain representation of the images, estimating calculators for estimating a plurality of motion vectors based on the frequency-domain representations, and a periodic structure detection and elimination module responsive to the transform calculators and the estimating calculators for identifying a period based on the frequency-domain representation of the images and for selecting a dominant motion vector based on the estimated motion vectors and the identified period. A method of operation is also disclosed.

Method and apparatus for periodic structure handling for motion compensation

Systems and methods for improving the contrast of image frames are disclosed. In one embodiment, a system for improving the contrast of image frames includes a control module configured to create an intensity histogram for an image frame, define a set of markers on an intensity range of the histogram, assign a blend factor to each marker, calculate a blend factor for each original pixel of the image, obtain a first equalized pixel output value, calculate a final equalized pixel output value using the blend factor, the first equalized pixel output value, and an original pixel value, and output new pixel values that constitute the output image.

Systems and methods for localized contrast enhancement

Systems and methods for converting a picture frame rate from a source video at a first rate to a target video at a second rate via interpolation of an intermediate frame. In one implementation, the system includes a phase plane correlation calculator including a low pass filter and a high pass filter for receiving previous frame data and current frame data where the phase plane correlation calculator is configured to generate a first motion vector based upon low pass representations and high pass representations. The system may also include a motion compensated interpolator that receives the first motion vector and an additional input motion vector and determines a final motion vector for use in interpolation. The system may further include an intermediate frame generator configured to generate the intermediate frame utilizing the final motion vector.

Picture rate conversion system architecture

A video processing system includes a network processing module configured to receive video content. A decoder module is configured to decode the video content received from the content transmitting system, and separately provide each of the decoded video content and data describing transmission features of the video content. A video quality estimation module is configured to estimate a quality factor based on the data describing the transmission features of the video content, wherein the quality factor corresponds to an estimation of a visual quality of the video content. A database control module configured to select, based on the quality factor, one of a plurality of predetermined settings for video post-processing. A video post-processing module is configured to receive the decoded video content separately provided from the decoder module, and process the decoded video content based on the selected one of the predetermined settings.

System and methods for adjusting settings of a video post-processor

Systems and methods are provided for determining pixels in an interpolated frame. A motion vector field is determined based on movement of pixels between first and second frames. A region of the motion vector field is clustered based on similarity of motion vectors of the motion vector field within the region. A region of discontinuity is identified comprising a portion of the motion vector field not belonging to a cluster. A determination is made as to whether the region of discontinuity is an occlusion region or a reveal region. A portion of the region of discontinuity in the interpolated frame is filled using pixel data from the first frame when the region of discontinuity is an occlusion region, and a portion of the region of discontinuity in the interpolated frame is filled using pixel data from the second frame when the region of discontinuity is a reveal region.

Processor implemented systems and methods for handling of occlusion for frame rate upconversion

Systems, methods, and other embodiments associated with image frame management are described. According to one embodiment, an apparatus includes classifier logic to categorize frames that represent an image as either reference frames or non-reference frames, where the categorization is based, at least in part, on motion vectors between the frames. The apparatus further includes management logic to store the reference frames and to delete the non-reference frames. Image generation logic may then reproduce the image by using the stored reference frames.

Growing community of inventors

Santa Cruz, CA, United States of America

Mainak Biswas