Abstract: A data transmission method includes: capturing, by a virtual reality host, a portion of an image to be transmitted in a preset area to obtain a first image, and compressing, by the virtual reality host, a portion of the image to be transmitted in a display area to obtain a second image, wherein the preset area is a portion of the display area (S101); transmitting, by the virtual reality host, the first image and the second image to a virtual reality apparatus in a certain order (S102); receiving the first image and the second image by the virtual reality apparatus (S103); stretching the second image by the virtual reality apparatus, and merging the first image with a stretched second image by the virtual reality apparatus to obtain an image to be displayed (S104); and displaying the image to be displayed by the virtual reality apparatus (S105).

Abstract: An image display method, an image processing method, an image processing device, a display system, and a computer-readable storage medium are disclosed. The image processing method is applied to an image processing device and includes: determining a first region in an original image; performing first processing on the first region in the original image to obtain a first processed region; performing second processing on the original image to obtain a second processed region; generating a first image based on the first processed region and the second processed region. A resolution of the first processed region is greater than a resolution of the second processed region.

Abstract: A method for brand recognition in video by implementing a brand recognition application coupled to a streaming media player, for identifying an observed set of brands streamed in a broadcast video; receiving, by the brand recognition application, a broadcast video stream of a series of images contained in consecutive frames about an object of interest; extracting a set of brand features from each of image received by applying a trained brand recognition model with neural networks in order to detect one or more features related to each displayed object of interest in each frame, wherein the object of interest is associated with a brand image contained video content displayed to a viewer; and displaying, by a graphic user interface, information from the brand recognition application comprising at least time detected of the brand image in the video content of the broadcast video.

Abstract: Video quality analysis may be used in many multimedia transmission and communication applications, such as encoder optimization, stream selection, and/or video reconstruction. An objective VQA metric that accurately reflects the quality of processed video relative to a source unprocessed video may take into account both spatial measures and temporal, motion-based measures when evaluating the processed video. Temporal measures may include differential motion metrics indicating a difference between a frame difference of a plurality of frames of the processed video relative to that of a corresponding plurality of frames of the source video. In addition, neural networks and deep learning techniques can be used to develop additional improved VQA metrics that take into account both spatial and temporal aspects of the processed and unprocessed videos.

Abstract: A video encoding system in which pixel data is decomposed into frequency bands prior to encoding. The frequency bands for a slice of a frame may be buffered so that complexity statistics may be calculated across the frequency bands prior to encoding. The statistics may then be used by a rate control component in determining quantization parameters for the frequency bands for modulating the rate in the encoder for the current slice. The quantization parameters for the frequency bands may be calculated jointly to optimize the quality of the displayed frames after decoder reconstruction and wavelet synthesis on a receiving device. Information about one or more previously processed frames may be used in combination with the statistics for a current slice in determining the quantization parameters for the current slice.

Abstract: A method for coding a video sequence is provided that includes encoding a portion of a picture in the video sequence in lossless coding mode, and signaling a lossless coding indicator in a compressed bit stream, wherein the lossless coding indicator corresponds to the portion of a picture and indicates whether or not the portion of the picture is losslessly coded. A method for decoding a compressed video bit stream is provided that includes determining that lossless coding mode is enabled, decoding a lossless coding indicator from the compressed video bit stream, wherein the lossless coding indicator corresponds to a portion of a picture in the compressed video bit stream and indicates whether or not the portion of the picture is losslessly coded, and decoding the portion of the picture in lossless coding mode when the lossless coding indicator indicates the portion of the picture is losslessly coded.

Abstract: Systems and methods for encoding a video stream at multiple bit rates is disclosed herein. An encoder divides each frame of a video stream into a plurality of portions and allocates an available number of bits between the plurality of portions based on user preference information. Portions having one or more objects of interest to the viewer determined based on the user preference information are allocated a higher number of available bits while portions of the frames that do not include one or more objects of interest are allocated a minimum number of bits from the available bits.

Abstract: A method, computer program, and computer system is provided for aligning across layers in a coded video stream. A video bitstream having multiple layers is decoded. One or more subpicture regions are identified from among the multiple layers of the decoded video bitstream, the subpicture regions including a background region and one or more foreground subpicture regions. An enhanced subpicture is decoded and displayed based on a determination that a foreground subpicture region is selected. The background region is decoded and displayed based on a determination that a foreground subpicture region was not selected.

Abstract: Systems and methods of the present disclosure include receiving, with a processor of the first user device, a first image from a first camera, receiving, with the processor, a first live video stream from a network location, generating, with the processor, a live image in real time, by superimposing a portion of the first live video stream received from the network location on to the first image received from the first camera, and displaying, with the processor, the generated live image.

Abstract: A method is provided for classifying objects. The method detects objects in one or more images. The method tags each object with multiple features. Each feature describes a specific object attribute and has a range of values to assist with a determination of an overall quality of the one or more images. The method specifies a set of training examples by classifying the overall quality of at least some of the objects as being of an acceptable quality or an unacceptable quality, based on a user's domain knowledge about an application program that takes the objects as inputs. The method constructs a plurality of first-level classifiers using the set of training examples. The method constructs a second-level classifier from outputs of the first-level automatic classifiers. The second-level classifier is for providing a classification for at least some of the objects of either the acceptable quality or the unacceptable quality.

Abstract: A method is provided for displaying an immersive video content according to eye movement of a viewer includes the steps of detecting, using an eye tracking device, a field of view of at least one eye of the viewer, transmitting eye tracking coordinates from the detected field of view to an eye tracking processor, identifying a region on a video display corresponding to the transmitted eye tracking processor, adapting the immersive video content from a video storage device at a first resolution for a first portion of the immersive video content and a second resolution for a second portion of the immersive video content, the first resolution being higher than the second resolution, displaying the first portion of the immersive video content on the video display within a zone, and displaying the second portion of the immersive video content on the video display outside of the zone.

Abstract: A method for assessing image quality between a reference image and an impaired image is disclosed. The method comprises the steps of subband decomposition of the luminance component of the reference image into N subbands, called reference subbands and of the luminance component of the impaired image into N subbands, called impaired subbands; errors computation from the reference subbands and from the impaired subbands; and pooling the computed the errors. The subband decomposition is based on a wavelet transform adapted to decompose each of the luminance components into L levels of decomposition, with L a positive integer determined as a function of the image height and of the distance of visualization.