Abstract: A sample analyzing method and a sample preparing method are provided. The sample analyzing method includes a sample preparing step, a placing step, and an analyzing step. The sample preparing step includes an obtaining step implemented by obtaining an identification information; and a marking and placing step implemented by placing a sample carrying component having a sample disposed thereon into a marking equipment, allowing the marking equipment to utilize the identification information to form an identification structure on the sample carrying component, and placing the sample carrying component into one of the accommodating slots according to the identification information. The placing step is implemented by taking out the sample carrying component from one of the accommodating slots and placing the sample carrying component into an electron microscope equipment. The analyzing step is implemented by utilizing the electron microscope equipment to photograph the sample to generate an analyzation image.

Abstract: In some implementations, the disclosed systems and methods can create a customized pet avatar by applying artificial intelligence to photographs and videos of a real-world pet. In some implementations, the disclosed systems and methods can geospatially map user-generated content within a VR environment. In some implementations, the disclosed systems and methods can receive user-generated content (e.g., images, videos, text, etc.) about a particular destination, such as a business listing, restaurant, or other location of interest. In some implementations, the disclosed systems and methods can build a selected virtual object of a plurality of virtual objects in an artificial reality world.

Abstract: Methods and systems described herein are directed to creating an artificial reality environment having elements automatically created from source images. In response to a creation system receiving the source images, the system can employ a multi-layered comparative analysis to obtain virtual object representations of objects depicted in the source images. A first set of the virtual objects can be selected from a library by matching identifiers for the depicted objects with tags on virtual objects in the library. A second set of virtual objects can be objects for which no candidate first virtual objects was adequately matched in the library, prompting the creation of a virtual object by generating depth data and skinning a resulting 3D mesh based on the source images. Having determined the virtual objects, the system can compile them into the artificial reality environment according to relative locations determined from the source images.

Abstract: Some aspects of the disclosed technology can create a virtual object based on user container selections. Further aspects of the disclosed technology can provide one or more product recommendations corresponding to a current context of user activity. Additional aspects of the disclosed technology can generate and export non-fungible tokens using object recognition. Yet further aspects of the disclosed technology can augment a digital environment with NFT content corresponding to an NFT wallet.

Abstract: Techniques are described for encapsulating AV1 encoded video data within NAL units. For example, the NAL units can be H.264 or HEVC NAL units. Encapsulation can comprise using a reserved NAL unit type. For example, an open bitstream unit comprising AV1 encoded video data can be encapsulated within a NAL unit using a reserved NAL unit type. The NAL unit can be packetized for delivery to another computing device via a computer network.

Abstract: Techniques are described for encapsulating AV1 encoded video data within NAL units. For example, the NAL units can be H.264 or HEVC NAL units. Encapsulation can comprise using a reserved NAL unit type. For example, an open bitstream unit comprising AV1 encoded video data can be encapsulated within a NAL unit using a reserved NAL unit type. The NAL unit can be packetized for delivery to another computing device via a computer network.

Abstract: An image and video compression method includes defining one or more encoding quality patterns, the one or more encoding quality patterns each have pre-determined areas of quality adjustment, the pre-determined areas of quality adjustment including one or more pre-defined regions of lower quality adjustment and one or more pre-defined regions of higher quality adjustment; receiving a frame associated with content to be encoded; selecting one of the one or more encoding quality patterns; processing the frame via an encoder, the processing using the selected one of the one or more encoded quality patterns; and producing a final output of an encoded bit.

Abstract: An image and video compression method includes defining one or more encoding quality patterns, the one or more encoding quality patterns each have pre-determined areas of quality adjustment, the pre-determined areas of quality adjustment including one or more pre-defined regions of lower quality adjustment and one or more pre-defined regions of higher quality adjustment; receiving a frame associated with content to be encoded; selecting one of the one or more encoding quality patterns; processing the frame via an encoder, the processing using the selected one of the one or more encoded quality patterns; and producing a final output of an encoded bit.

Abstract: An embodiment of the invention provides a secure boot method for an electronic device including an embedded controller and a processor. The method includes the steps of verifying a secure loader by the embedded controller, unlocking a peripheral hardware of the electronic device by the embedded controller, and executing the secure loader by the processor.

Abstract: A multi-core processor system, a dynamic power management method thereof and a control apparatus thereof are provided. In the method, a workload of a multi-core processor during a runtime stage is obtained. Next, a hot-plug operation is respectively performed on a plurality of slave cores according to the workload and a working state of each slave core. Then, a bus master status and the working state of a boot core are monitored to determine whether to power off the boot core, in which the bus master status is generated by combining a plurality of device statuses reflected by a plurality of peripheral devices. Finally, when the bus master status is determined as idle, the boot core is powered off.

Abstract: An embodiment of the invention provides a secure boot method for an electronic device including an embedded controller and a processor. The method includes the steps of verifying a secure loader by the embedded controller, unlocking a peripheral hardware of the electronic device by the embedded controller, and executing the secure loader by the processor.

Abstract: A multiple bitrate (MBR) video encoding management tool utilizes available processing units for parallel MBR video encoding. Instead of focusing only on multi-threading of encoding tasks for a single picture or group of pictures (GOP), the management tool parallelizes the encoding of multiple GOPs between different processing units and/or different computing systems. With this parallel MBR video encoding architecture, different GOPs can be encoded in parallel. To facilitate such parallel encoding, data dependencies between GOPs are removed. The management tool can adjust the number of GOPs to encode in parallel on a computing system so as to favor parallelism of encoding for different GOPs at the expense of parallelism of encoding inside a GOP, or vice versa, and thereby set a suitable balance between encoding latency and throughput.

Abstract: A multi-core processor system, a dynamic power management method thereof and a control apparatus thereof are provided. In the method, a workload of a multi-core processor during a runtime stage is obtained. Next, a hot-plug operation is respectively performed on a plurality of slave cores according to the workload and a working state of each slave core. Then, a bus master status and the working state of a boot core are monitored to determine whether to power off the boot core, in which the bus master status is generated by combining a plurality of device statuses reflected by a plurality of peripheral devices. Finally, when the bus master status is determined as idle, the boot core is powered off.

Abstract: A video encoding system encodes video streams for multiple bit rate video streaming using an approach that permits the encoded bit rate to vary subject to a peak bit rate and average bit rate constraints for higher quality streams, while a bottom bit rate stream is encoded to achieve a constant chunk rate. The video encoding system also dynamically decides an encoding resolution for segments of the multiple bit rate video streams that varies with video complexity so as to achieve a better visual experience for multiple bit rate streaming.

Abstract: A video encoder uses previously calculated motion information for inter frame coding to achieve faster computation speed for video compression. In a multi bit rate application, motion information produced by motion estimation for inter frame coding of a compressed video bit stream at one bit rate is passed on to a subsequent encoding of the video at a lower bit rate. The video encoder chooses to use the previously calculated motion information for inter frame coding at the lower bit rate if the video resolution is unchanged. A multi core motion information pre-calculation produces motion information prior to encoding by dividing motion estimation of each inter frame to separate CPU cores.

Abstract: A video encoding system encodes video streams for multiple bit rate video streaming using an approach that permits the encoded resolution to vary based, at least in part, on motion complexity. The video encoding system dynamically decides an encoding resolution for segments of the multiple bit rate video streams that varies with video complexity so as to achieve a better visual experience for multiple bit rate streaming. Motion complexity may be considered separately, or along with spatial complexity, in making the resolution decision.

Abstract: A multiple bitrate (MBR) video encoding management tool utilizes available processing units for parallel MBR video encoding. For example, instead of focusing only on multi-threading of encoding tasks for a single picture or group of pictures (GOP), the management tool parallelizes the encoding of multiple GOPs between different processing units and/or different computing systems. With this parallel MBR video encoding architecture, different GOPs can be encoded in parallel. To facilitate such parallel encoding, data dependencies between GOPs are removed. The management tool can adjust the number of GOPs to encode in parallel on a computing system so as to favor parallelism of encoding for different GOPs at the expense of parallelism of encoding inside a GOP, or vice versa, and thereby set a suitable balance between encoding latency and throughput.

Abstract: A video encoding system encodes video streams for multiple bit rate video streaming using an approach that permits the encoded resolution to vary based, at least in part, on motion complexity. The video encoding system dynamically decides an encoding resolution for segments of the multiple bit rate video streams that varies with video complexity so as to achieve a better visual experience for multiple bit rate streaming. Motion complexity may be considered separately, or along with spatial complexity, in making the resolution decision.

Abstract: A video encoder uses previously calculated motion information for inter frame coding to achieve faster computation speed for video compression. In a multi bit rate application, motion information produced by motion estimation for inter frame coding of a compressed video bit stream at one bit rate is passed on to a subsequent encoding of the video at a lower bit rate. The video encoder chooses to use the previously calculated motion information for inter frame coding at the lower bit rate if the video resolution is unchanged. A multi core motion information pre-calculation produces motion information prior to encoding by dividing motion estimation of each inter frame to separate CPU cores.

Abstract: A video encoding system encodes video streams for multiple bit rate video streaming using an approach that permits the encoded bit rate to vary subject to a peak bit rate and average bit rate constraints for higher quality streams, while a bottom bit rate stream is encoded to achieve a constant chunk rate. The video encoding system also dynamically decides an encoding resolution for segments of the multiple bit rate video streams that varies with video complexity so as to achieve a better visual experience for multiple bit rate streaming.