A method for preventing forgery of data according to an embodiment includes determining a noise level based on metadata of original data, generating noise by applying the determined noise level to a preset noise pattern, generating transformed data of the original data by adding the generated noise to the original data, and transmitting the transformed data and the metadata to a server.

An input video stream of video content may be encoded and transmitted from a provider to an intermediary, which decodes and edits the video content, and then re-encodes and transmits the video content to end viewers via an output video stream. When re-encoding the video content, the intermediary may determine to selectively re-use and/or not re-use input motion vectors from the input video stream, for example based on an amount of distortion associated with editing of the video content. In some examples, input motion vectors may be re-used for re-encoding of certain portions (e.g., frames, parts of frames, etc.) of the output video stream and not re-used for re-encoding of other portions of the output video stream.

Exemplary embodiments are directed to methods and systems for annotating generating training data for video quality impairment detection. A video stream recorder extracts one or more image frames from a reference video stream as it is played. A video image labeler embeds a unique label into each of the one or more extracted image frames. The video stream recorder records the one or more labeled image frames as a labeled video stream. The video stream player then plays the labeled video stream through an impaired communication channel to generate a degraded video stream. A video image comparator compares one or more corresponding frames of the labeled video stream and the degraded video stream to generate one or more difference frames. An impaired image recorder annotates at least one of the one or more difference frames according to a corrupted region of the at least one difference frame.

Described herein are a video enhancement control method, an electronic apparatus, and a storage medium. The method includes: detecting whether to enter a video enhancement configuration mode in response to displaying a video playback interface; displaying a sliding control on the video playback interface in response to being detected to enter the video enhancement configuration mode; acquiring a target video enhancement parameter in response to a sliding operation acting on the sliding control; and performing video enhancement of a video playback interface played on the video playback interface based on the target video enhancement parameter.

Disclosed herein is a semiconductor integrated circuit which controls the quality of an image and includes a viewer detector, a region specifier, and a controller. The viewer detector detects the number of viewer(s) watching the image and a gaze region being watched by the viewer within the image. If the number of viewers is plural, the region specifier specifies a local region of the image as a target region based on a plurality of gaze regions being watched by the viewers. The controller performs image quality control on the target region.

Embodiments described herein provide systems and methods for managing quality level of video transmission and storage. In a particular embodiment, a method provides receiving a video at a received quality level in a video storage system and determining a characteristic of the video. The method further provides determining whether the characteristic satisfies a criteria and, if the characteristic satisfies the criteria, storing the video at a quality level associated with the criteria.

A method of content-based self-adaptive video transcoding, which includes: acquiring a minimum quantized value representative of a content complexity of a video to be transcoded and satisfying a preset objective quality standard; setting a value of transcoding parameter based on the minimum quantized value representative of the content complexity of the video to be transcoded and a video parameter value of the video to be transcoded; and transcoding the video to be transcoded based on the set transcoding parameter to generate a target video. The present disclosure further provides an apparatus of content-based self-adaptive video transcoding. The method provided by the present disclosure can avoid unnecessarily bandwidth consumption while ensuring the quality of the transcoded video.

Methods and devices for characterization of repetitious noise in cable networks are disclosed. A frequency band of interest is identified, a time trace of a signal parameter within the frequency band is obtained, and an autocorrelation of the time trace is computed to detect repetitious noise. The repetition frequency can serve as an indicator of the noise source type, and thus it can assist in noise segmentation.

Disclosed are a signal processing device and an image display apparatus including the same. The signal processing device of an embodiment of the present disclosure includes: a quality calculator configured to calculate a source quality of an image signal received from an external settop box or a network; an image quality setter configured to set an image quality of the image signal based on the calculated source quality; and an image quality processor configured to perform image quality processing on the image signal based on the set image quality, wherein in response to the source quality of the received image signal being changed at a first time point, the image quality setter changes an image quality setting sequentially from a first setting to a second setting; and based on the image quality setting, the image quality processor performs image quality processing. Accordingly, flicker may be reduced when an image quality is changed due to a change in the source quality of the received image signal.

A technology of preventing feeling of a viewer on brightness from significantly changing when content is switched is provided. A transmitting device (1) includes a calculation unit (12) that calculates a video feature of a transmission video signal, and a mute video generation unit (13) that generates a mute video posterior to a first video signal, in which luminance of the mute video is luminance corresponding to a value of a video feature relating to the first video signal.