Abstract: An OLED display substrate, a display panel, a display device, a manufacturing method and a fingerprint identification module are provided. The OLED display substrate includes a microporous light-shielding pattern arranged between adjacent pixel regions and including a plurality of pinholes. The microporous light-shielding pattern is arranged at a same layer as, and insulated from, a nontransparent electrode of the OLED display substrate.

Abstract: Embodiments of the present disclosure provide a display substrate, a display panel, a display device, and a manufacturing method of the display substrate. The display substrate includes a display region and a peripheral region located at an outer side of the display region, and the peripheral region includes a bonding region. The display substrate includes: a base substrate, and a first metal pattern and a second metal pattern which are provided on the base substrate and located in the bonding region, the second metal pattern covers at least a portion of at least one side surface of the first metal pattern, and an activity of a metal of the second metal pattern is weaker than an activity of a metal of the first metal pattern.

Abstract: The present disclosure relates to a scene detection method, a chip, an electronic device, and a storage medium, the present disclosure detects periodic scenes, which helps to improve the accuracy of motion estimation.

Abstract: The present disclosure relates to a motion estimation method, a chip, an electronic device, and a storage medium. The present disclosure is beneficial to improving the accuracy of motion estimation.

Abstract: Embodiments of the present disclosure provide a thin film transistor, a method for manufacturing a thin film transistor, an array substrate, a display panel, and a display device. The thin film transistor includes: a base substrate; an active layer, an insulating layer, and a source-drain layer sequentially stacked on the base substrate, wherein the source-drain layer is electrically connected to the active layer through a via hole penetrating the insulating layer; and a transition layer arranged between the source-drain layer and the active layer at a position of the via hole, wherein the transition layer covers a bottom of the via hole and covers at least part of a sidewall of the via hole, and the transition layer comprises elements of the active layer and elements of a part of the source-drain layer, the part of the source-drain layer being in contact with the transition layer.

Abstract: An OLED display substrate, a display panel, a display device, a manufacturing method and a fingerprint identification module are provided. The OLED display substrate includes a microporous light-shielding pattern arranged between adjacent pixel regions and including a plurality of pinholes. The microporous light-shielding pattern is arranged at a same layer as, and insulated from, a nontransparent electrode of the OLED display substrate.

Abstract: A test substrate has at least one test region and includes a base substrate, a plurality of thin film transistors disposed on the base substrate, at least one test hole located in the test region, and at least one test pin. At least one of the thin film transistors is a target thin film transistor to be tested, each target thin film transistor is located in one test region. Each test hole exposes a source region, a drain region or a gate of a corresponding target thin film transistor at a bottom thereof. Each test pin is located in one test hole. One end of the test pin passes through the test hole to be coupled to the source region, the drain region or the gate of the corresponding target thin film transistor, and another end of the test pin is exposed at a surface of the test substrate.

Abstract: Embodiments of the present disclosure disclose an OLED substrate, a manufacturing thereof and a display device. The OLED substrate includes a base substrate, a patterned metal wiring formed on a surface of the base substrate, a flatness adjustment layer formed on a surface of the base substrate not covered by the patterned metal wiring, a planarization layer formed on a surface of the flatness adjustment layer facing away from the base substrate and on a surface of the patterned metal wiring facing away from the base substrate, and an OLED anode formed on a surface of the planarization layer facing away from the base substrate.

Abstract: A video processing system for de-interlacing a video signal comprises a motion estimation block, a refinement motion estimation block, and a de-interlacer. The motion estimation block generates integer motion vectors for the video signal. The refinement motion estimation block generates fractional motion vectors as a function of the generated integer motion vectors and select frames of the video signal. The de-interlacer generates an output as a function of the generated fractional motion vectors and the selected frames of the video signal.

Abstract: A video processing system for de-interlacing a video signal comprises a motion estimation block, a refinement motion estimation block, and a de-interlacer. The motion estimation block generates integer motion vectors for the video signal. The refinement motion estimation block generates fractional motion vectors as a function of the generated integer motion vectors and select frames of the video signal. The de-interlacer generates an output as a function of the generated fractional motion vectors and the selected frames of the video signal.

Abstract: A method and device for content presentation are disclosed. The device receives one or more elements of content according to the priority setting thereof. The device displays the received elements. A sequence setter, responsive to a request for opening a remote slide file, is operable to receive an index of a set of slide objects for the slide file. The index comprises priority settings comprising a priority setting for each slide object within the set of slide objects and set a receive sequence based on the priority settings. A placeholder setter is operable to identify a subset of slide objects that have not been received and to replace the second subset of slide objects that have not been received with placeholders.

Abstract: A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set is described where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and/or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.

Abstract: A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and/or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.

Abstract: A method for padding, filtering, denoising, image enhancing and increased time-frequency acquisition is described for digitized data of a data set is described where unknown data is estimated using real data by adding unknown data points in a manner that the padding routine can estimate the interior data set including known and unknown data to a given accuracy on the known data points. The method also provides filtering using non-interpolating, well-tempered distributed approximating functional (NIDAF)-low-band-pass filters. The method also provides for symmetric and/or anti-symmetric extension of the data set so that the data set may be better refined and can be filtered by Fourier and other type of low frequency or harmonic filters.