Abstract: Embodiments of the present invention disclose a method and an apparatus for acquiring video coding compression quality. The method may include: acquiring video stream information; calculating video content complexity according to the video stream information; and calculating video coding compression quality according to the bit rate, the frame rate and the video content complexity. In the embodiments of the present invention, the video coding compression quality may be acquired as long as the video frame information, the bit rate, the frame rate and the video content complexity of a video stream are acquired. The video coding compression quality may be used in subsequent video quality assessment. This process greatly reduces video quality assessment complexity and the assessment may be performed in real time. In addition, the assessed coding compression quality meets the subjective feeling of human eyes better.

Abstract: An interlayer video decoding method and apparatus and an interlayer video encoding method and apparatus are provided. The decoding method includes: reconstructing, based on encoding information obtained from a bitstream, a first layer image and a first layer depth map; determining whether a disparity vector is predictable using peripheral blocks of a second layer current block; and when the disparity vector is not predictable using the peripheral blocks, determining a disparity vector of the second layer current block using a default disparity vector and the reconstructed first layer depth map.

Abstract: A communication system includes a first communication apparatus and a second communication apparatus. The first communication apparatus includes a partial image data generation unit, configured to generate partial image data which is obtained by extracting a partial component from image data, and a transmission unit, configured to transmit the partial image data generated by the partial image data generation unit to the second communication apparatus. The second communication apparatus includes a reception unit, configured to receive the partial image data transmitted by the transmission unit of the first communication apparatus.

Abstract: A method for an image capturing device is disclosed. The method includes capturing a first image and a second image; adjusting a first resolution of the first image to a second resolution of the second image; cropping a first image part corresponding to the second image in the first image via comparing feature points between the first image and the second image, for generating a third image; detecting non-ideal effects between the second image and the third image; compensating the non-ideal effects, for generating a first corrected image and a second corrected image; and calculating a depth information based on the first corrected image and the second corrected image.

Abstract: A gated time of flight (GT-TOF) range camera that transmits a plurality of light pulses to illuminate features in a scene and gates ON a photosensor in the camera for one multi-exposure gate having a plurality of exposure periods following each of the plurality of light pulses to register amounts of light reflected by features in the scene from the light pulses and uses the registered amounts of light to determine distances to the features.

Abstract: In a method for triggering a driver assistance function of a subject vehicle, image data of surroundings in front of the vehicle is generated by a camera and supplied to an analyzing unit. A driver assistance function is triggered upon detection of a brake light of an other vehicle in the image data. A geometric region of the detected other vehicle is determined as exhibiting the highest pixel brightness values and the color red. The geometric region is detected as a raised brake light of the other vehicle if the geometric region is positioned essentially in the middle of the horizontal structure of the other vehicle, or at least a predetermined height above the roadway, or at least a predetermined distance below a rear window of the other vehicle.

Abstract: Network connectivity is used to share relevant visual and other sensory information between vehicles, as well as delivering relevant information provided by network services to create an enhanced view of the vehicle's surroundings. The enhanced view is presented to the occupants of the vehicle to provide an improved driving experience and/or enable the occupants to take proper action (e.g., avoid obstacles, identify traffic delays, etc.). In one example, the enhanced view comprises information that is not visible to the naked eye and/or cannot be currently sensed by the vehicle's sensors (e.g., due to a partial or blocked view, low visibility conditions, hardware capabilities of the vehicle's sensors, position of the vehicle's sensors, etc.).

Abstract: Systems and methods are provided for transcoding a set of key frame aligned output files from a source file. A key frame list file is generated while transcoding a first output file of the set. Subsequent output files of the set may be created non-sequentially and in parallel using the key frame list file.

Abstract: Provided is a video encoding/decoding technique for improving the compression efficiency by reducing the motion vector code amount. In a video decoding process, the prediction vector calculation method is switched from one to another in accordance with a difference between predetermined motion vectors among a plurality of motion vectors of a peripheral block of a block to be decoded and already decoded. The calculated prediction vector is added to a difference vector decoded from an encoded stream so as to calculate a motion vector. By using the calculated motion vector, the inter-image prediction process is executed.

Abstract: An external recognition apparatus and an excavation machine using the external recognition apparatus, the external recognition apparatus including: a three-dimensional distance measurement device configured to acquire distance information in a three-dimensional space in a predetermined, region which is under a hydraulic shovel and which includes a region to be excavated by the hydraulic shovel; a plane surface estimation unit configured to estimate a plane surface in the predetermined region based on the distance information; and an excavation object region recognition unit configured to recognize the region to be excavated in the predetermined region based on the plane surface and the distance information.

Abstract: A method is provided using a system mounted in a vehicle. The system includes a rear-viewing camera and a processor attached to the rear-viewing camera. When the driver shifts the vehicle into reverse gear, and while the vehicle is still stationary, image frames from the immediate vicinity behind the vehicle are captured. The immediate vicinity behind the vehicle is in a field of view of the rear-viewing camera. The image frames are processed and thereby the object is detected which if present in the immediate vicinity behind the vehicle would obstruct the motion of the vehicle. The processing is preferably performed in parallel for a plurality of classes of obstructing objects using a single image frame of the image frames.

Abstract: A system to facilitate analyzing and/or processing video content using encoding logs is provided. The system includes a first analysis component, a second analysis component and a transcoding component. The first analysis component determines a first set of shot-change locations associated with a cut transition in a video sequence based on an encoding log associated with at least one previously encoded video frame. The second analysis component determines a second set of shot-change locations associated with a fading transition in the video sequence based on the encoding log associated with the at least one previously encoded video frame. The transcoding component processes the video sequence based on at least a portion of the first set of shot-change locations and the second set of shot-change locations.

Abstract: Systems and methods for testing a light emitting device are described. A processing device receives a receiving an image of a beam of light substantially free of parallax distortion and determines one or more uniformity metrics of the beam of light based on the received image.

Abstract: A lane identification method for identifying a lane whereon a vehicle is traveling, which includes: providing a drive video; generating an identification result of recognizing a plurality of lane lines corresponding to the line according the drive video, wherein the identification result is generated based on inside borderlines of the lane lines; and determining the lane according to the identification result.

Abstract: A system for managing delivery of video content. The system includes a controller and one or more players. The controller may be configured to control generation of a plurality of streams containing the video content based upon feedback regarding decoding at least one of the plurality of streams. The one or more players may be configured to select a stream from the plurality of streams, generate decoding statistics for the selected stream, and send the decoding statistics to the controller as the feedback.

Abstract: Systems and methods for processing a pair of 2-D images are described. In one example, a stereoscopic set of images is converted into a collection of regions that represent individual 3-D objects in the pair of images. In one embodiment, the system recovers the 3-D point P for each point p that appears in both images. It estimates the 3-D orientation of the floor plane, and the image capture planes and their height from the floor. The system then identifies the collection B of points P that do not represent points on the floor and generates a projection C of B onto a plane parallel to the floor. It blurs the projection C and identifies peaks in the blurred image, then fits symmetric figures to the points in C around the identified peaks. The system projects the 3-D figures associated with the symmetric figures back onto the 2-D images.

Abstract: A video encoding method for encoding a current motion vector of a current block, includes: deriving a plurality of candidate predictive motion vectors by using motion vectors of adjacent blocks of the current block; selecting a predictive motion vector of the current block from among the candidate predictive motion vectors; generating a differential motion vector by subtracting the predictive motion vector from the current motion vector; and encoding, into a bitstream, the differential motion vector and a predictive motion vector index for indicating which candidate predictive motion vector is selected as the predictive motion vector among the candidate predictive motion vectors, where the deriving of the candidate predictive motion vectors includes: deriving a first candidate predictive motion vector based on adjacent blocks located at left side of the current block; and deriving a second candidate predictive motion vector based on adjacent blocks located at upper side of the current block.

Abstract: Systems and methods provide accurate pixel depth information to be applied to a single image taken by a single camera in generating a three-dimensional (3D) image. In particular, two or more images can be captured during, e.g., lateral movement of a camera to ascertain depth in a scene on a pixel level. Use of an optical image stabilization (OIS) system that can provide at least three axes of stabilization eliminates the variability associated with conventional systems that create problems with image registration. Further still, and because actual pixel depth information is being calculated rather than merely generating stereoscopic images to trick the eyes into perceiving depth, the pixel depth information that is calculated can be leveraged in other ways, such as for providing automated measurements merely by taking a picture of an object or scene.

Abstract: Methods and systems described herein address the issue of how to efficiently capture an image circle within an image sensor associated with a wide field of view camera. In one embodiment, a processor obtains several criteria, such as a plurality of sizes of a plurality of image circles, a minimal portion of the image circle to be recorded by the image sensors, and a minimal portion of the image sensors engaged in recording the image. Based on these criteria, the processor determines a number of image sensors, a number of image sensor sizes, and a number of image sensor shapes. In another embodiment, the processor receives additional criteria, such as the desired aspect ratio and the desired shape associated with the image sensor. Based on these criteria, the processor determines a number of image sensors and a number of image sensor sizes.

Abstract: A real-time stereo camera disparity estimation device comprises input means arranged to input measured data corresponding to rows of left and right images; a plurality of on-chip memories arranged to buffer the input measured data; a vertical rotator hardware module configured to align the rows of left and right images in a same column; a reconfigurable data allocation hardware module; a reconfigurable computation of metrics hardware module; and an adaptive disparity selection hardware module configured to select disparity values with the minimum matching costs.