Abstract: The present invention relates to the field of display technology, and discloses a method for preparing an array substrate, a display panel and an evaporation apparatus. A method for preparing an array substrate comprises: fixing a base substrate to an evaporation stage; attaching a shielding sheet to the base substrate to cover at least a preset area of the base substrate; arranging and aligning an open mask in association with the base substrate; and evaporating to form a evaporation material layer on the base substrate, to which the shielding sheet is attached, with the open mask.

Abstract: The present disclosure provides a display backplane, a method for preparing the same, and a display device. The display backplane includes a substrate, an electronic device and an alignment mark arranged on the substrate, and a filling layer, the filling layer being filled in at least a part of a recessed area located on a surface of the substrate away from the electronic device, and a minimum distance between an orthogonal projection of the at least part of the recessed area on the substrate and an orthogonal projection of the alignment mark on the substrate being less than 200 ?m.

Abstract: A measurement method for micro topography and roughness of internal surface of gap belongs to the technical field of precision measurement and is realized based on a measurement system which comprises a PC, a controller, a flexible mechanism and a measurement thin film. The measurement thin film has a copy function and is bonded to the flexible mechanism. The PC is connected with the flexible mechanism through the controller to control the flexible mechanism to expand or contract. The measurement method can effectively solve the measurement problem of the micro topography and surface roughness of the internal surface of the gap with a narrow inlet size. The method is simple and easy to operate, and the device is easy to carry, low in cost and high in measurement accuracy.

Abstract: Techniques disclosed for managing video captured by an imaging device. Methods disclosed capture a video in response to a capture command received at the imaging device. Following a video capture, techniques for classifying the captured video based on feature(s) extracted therefrom, for marking the captured video based on the classification, and for generating a media item from the captured video according to the marking are disclosed. Accordingly, the captured video may be classified as representing a static event, and, as a result, a media item of a still image may be generated. Otherwise, the captured video may be classified as representing a dynamic event, and, as a result, a media item of a video may be generated.

Abstract: In embodiments of the present disclosure, there is provided an assertion-based question answering manner. After a question and the related passage are obtained, an assertion answer to the question is determined based on content of the passage, and the assertion answer has a predetermined structure and represents a complete semantic meaning. Then, the assertion answer to the question may be outputted to the user. In the embodiments of the present disclosure, the question and the relevant passage are used as input, and a semi-structured assertion answer is output. The assertion answer according to embodiments of the present disclosure can provide richer semantic content than the traditional short answer, and provide a more concise expression than the traditional long answer, thereby ensuring accuracy of the answer while improving the user experience.

Abstract: A measurement method for micro topography and roughness of internal surface of gap belongs to the technical field of precision measurement and is realized based on a measurement system which comprises a PC, a controller, a flexible mechanism and a measurement thin film. The measurement thin film has a copy function and is bonded to the flexible mechanism. The PC is connected with the flexible mechanism through the controller to control the flexible mechanism to expand or contract. The measurement method can effectively solve the measurement problem of the micro topography and surface roughness of the internal surface of the gap with a narrow inlet size. The method is simple and easy to operate, and the device is easy to carry, low in cost and high in measurement accuracy.

Abstract: A device and a method for installing an aerobic three-phase separator without interruption of production. The device comprises an aeration tank, the top of the aeration tank is provided with a number of aerobic three-phase separators that are capable of aeration at the bottom and are provided with a gas barrier at a sludge outlet. Each of the aerobic three-phase separators comprises an overflow trough, and the bottom of the overflow trough is provided with a drain pipe leading to the outside of the bottom end of the aerobic three-phase separator. Each of the drain pipes is connected to one end of a water outlet hose, and the other end of each water outlet hose is connected to a water outlet manifold. One end of the water outlet manifold is a sealed end, and the other end is bent downward and leads to a water level tank.

Abstract: Systems and processes for improved video editing, summarization and navigation based on generation and analysis of metadata are described. The metadata may be content-based (e.g., differences between neighboring frames, exposure data, key frame identification data, motion data, or face detection data) or non-content-based (e.g., exposure, focus, location, time) and used to prioritize and/or classify portions of video. The metadata may be generated at the time of image capture or during post-processing. Prioritization information, such as a score for various portions of the image data may be based on the metadata and/or image data. Classification information such as the type or quality of a scene may be determined based on the metadata and/or image data. The classification and prioritization information may be metadata and may be used to automatically remove undesirable portions of the video, generate suggestions during editing or automatically generate summary video.

Abstract: Several implementations relate, for example, to depth encoding and/or filtering for 3D video (3DV) coding formats. A sparse dyadic mode (308) for partitioning macroblocks (MBs) along edges in a depth map is provided as well as techniques for trilateral (or bilateral) filtering of depth maps that may include adaptive selection between filters sensitive to changes in video intensity and/or changes in depth. One implementation partitions a depth picture, and then refines the partitions based on a corresponding image picture. Another implementation filters a portion of a depth picture based on values for a range of pixels in the portion. For a given pixel in the portion that is being filtered, the filter weights a value of a particular pixel in the range by a weight that is based on one or more of location distance, depth difference, and image difference.

Abstract: Techniques are disclosed for estimating quality of images in an automated fashion. According to these techniques, a source image may be downsampled to generate at least two downsampled images at different levels of downsampling. Blurriness of the images may be estimated starting with a most-heavily downsampled image. Blocks of a given image may be evaluated for blurriness and, when a block of a given image is estimated to be blurry, the block of the image and co-located blocks of higher resolution image(s) may be designated as blurry. Thereafter, a blurriness score may be calculated for the source image from the number of blocks of the source image designated as blurry.

Abstract: A system for processing media on a resource restricted device, the system including a memory to store data representing media assets and associated descriptors, and program instructions representing an application and a media processing system, and a processor to execute the program instructions, wherein the program instructions represent the media processing system, in response to a call from an application defining a plurality of services to be performed on an asset, determine a tiered schedule of processing operations to be performed upon the asset based on a processing budget associated therewith, and iteratively execute the processing operations on a tier-by-tier basis, unless interrupted.

Abstract: Techniques for cropping images containing an occlusion are presented. A method for image editing is presented comprising, when an occlusion is detected in an original digital image, determining an area occupied by the occlusion, assigning importance scores to different content elements of the original digital image, defining a cropping window around an area of the original digital image that does not include the area occupied by the occlusion and that is based on the importance scores, and cropping the original digital image to the cropping window.

Abstract: A method for processing media assets includes, given a first media asset, deriving characteristics from the first media asset, searching for other media assets having characteristics that correlate to the characteristics of the first media asset, when a match is found, deriving content corrections for the first media asset or a matching media asset from the other of the first media asset or the matching media asset, and correcting content of the first media asset or the matching media asset based on the content corrections.

Abstract: Several implementations relate, for example, to depth encoding and/or filtering for 3D video (3DV) coding formats. A sparse dyadic mode for partitioning macroblocks (MBs) along edges in a depth map is provided as well as techniques for trilateral (or bilateral) filtering of depth maps that may include adaptive selection between filters sensitive to changes in video intensity and/or changes in depth. One implementation partitions a depth picture, and then refines the partitions based on a corresponding image picture. Another implementation filters a portion of a depth picture based on values for a range of pixels in the portion. For a given pixel in the portion that is being filtered, the filter weights a value of a particular pixel in the range by a weight that is based on one or more of location distance, depth difference, and image difference.

Abstract: Methods for organizing media data by automatically segmenting media data into hierarchical layers of scenes are described. The media data may include metadata and content having still image, video or audio data. The metadata may be content-based (e.g., differences between neighboring frames, exposure data, key frame identification data, motion data, or face detection data) or non-content-based (e.g., exposure, focus, location, time) and used to prioritize and/or classify portions of video. The metadata may be generated at the time of image capture or during post-processing. Prioritization information, such as a score for various portions of the image data may be based on the metadata and/or image data. Classification information such as the type or quality of a scene may be determined based on the metadata and/or image data. The classification and prioritization information may be metadata and may be used to organize the media data.

Abstract: Several implementations relate, for example, to depth encoding and/or filtering for 3D video (3DV) coding formats. A sparse dyadic mode (308) for partitioning macroblocks (MBs) along edges in a depth map is provided as well as techniques for trilateral (or bilateral) filtering of depth maps that may include adaptive selection between filters sensitive to changes in video intensity and/or changes in depth. One implementation partitions a depth picture, and then refines the partitions based on a corresponding image picture. Another implementation filters a portion of a depth picture based on values for a range of pixels in the portion. For a given pixel in the portion that is being filtered, the filter weights a value of a particular pixel in the range by a weight that is based on one or more of location distance, depth difference, and image difference.

Abstract: Techniques are disclosed for estimating quality of images in an automated fashion. According to these techniques, a source image may be downsampled to generate at least two downsampled images at different levels of downsampling. Blurriness of the images may be estimated starting with a most-heavily downsampled image. Blocks of a given image may be evaluated for blurriness and, when a block of a given image is estimated to be blurry, the block of the image and co-located blocks of higher resolution image(s) may be designated as blurry. Thereafter, a blurriness score may be calculated for the source image from the number of blocks of the source image designated as blurry.

Abstract: Techniques for cropping images containing an occlusion are presented. A method for image editing is presented comprising, when an occlusion is detected in an original digital image, determining an area occupied by the occlusion, assigning importance scores to different content elements of the original digital image, defining a cropping window around an area of the original digital image that does not include the area occupied by the occlusion and that is based on the importance scores, and cropping the original digital image to the cropping window.

Abstract: A method for processing media assets includes, given a first media asset, deriving characteristics from the first media asset, searching for other media assets having characteristics that correlate to the characteristics of the first media asset, when a match is found, deriving content corrections for the first media asset or a matching media asset from the other of the first media asset or the matching media asset, and correcting content of the first media asset or the matching media asset based on the content corrections.

Abstract: Methods for organizing media data by automatically segmenting media data into hierarchical layers of scenes are described. The media data may include metadata and content having still image, video or audio data. The metadata may be content-based (e.g., differences between neighboring frames, exposure data, key frame identification data, motion data, or face detection data) or non-content-based (e.g., exposure, focus, location, time) and used to prioritize and/or classify portions of video. The metadata may be generated at the time of image capture or during post-processing. Prioritization information, such as a score for various portions of the image data may be based on the metadata and/or image data. Classification information such as the type or quality of a scene may be determined based on the metadata and/or image data. The classification and prioritization information may be metadata and may be used to organize the media data.