Abstract: Provided are an automatic video editing method and a portable terminal, the method comprising: obtaining a video to be edited; extracting key frames of the video to be edited; inputting the key frames to a pre-trained scene classification method and a pre-trained target detection method, and respectively obtaining scene type markers and target object markers of the key frames; selecting multiple video segments from the video to be edited which satisfy preset editing criteria; respectively calculating average scores of the multiple video segments by means of a pre-trained image quality scoring method; respectively obtaining the video segment having the highest average score of each shot type for splicing.

Abstract: Aspects of the disclosure are directed to automatically determining floor planning in chips, which factors in memory macro alignment. A deep reinforcement learning (RL) agent can be trained to determine optimal placements for the memory macros, where memory macro alignment can be included as a regularization cost to be added to the placement objective as a RL reward. Tradeoffs between the placement objective and alignment of macros can be controlled by a tunable alignment parameter.

Abstract: A fly ash-based fire-prevention and extinguishing material with carbon dioxide mineralized and stored, and a preparation method thereof are provided. The preparation method includes: separately weighing 100 parts to 120 parts of water, 1 part to 3 parts of a solid strong alkali, and 20 parts to 40 parts of a fly ash as raw materials, pouring the raw materials into a reactor successively to obtain a resulting mixture, and stirring the resulting mixture at a high rotational speed; adding 10 parts to 20 parts of a solubilizing agent to the reactor, sealing the reactor, introducing carbon dioxide to the reactor at room temperature to maintain a carbon dioxide pressure to obtain a resulting slurry, and stirring the resulting slurry at a high rotational speed; and further introducing carbon dioxide into the reactor to increase the carbon dioxide pressure, and stirring the resulting slurry at a low rotational speed.

Abstract: A target tracking method, a computer-readable storage medium, and a computer device. The method comprises: matching a target tracking box with target candidate boxes to determine a target candidate box in best matching with the target tracking box; matching one or more remaining target candidate boxes, except for the best matching target candidate box, with a second target candidate box detected previously to determine a corresponding matching relationship; according to the best matching target candidate box and the corresponding matching relationship, obtaining distances and overlapping relationships respectively between the best matching target candidate box and the one or more remaining target candidate boxes and between the best matching target candidate box and the second target candidate box, so as to determine a shielding relationship between a target and other objects in the current video frame; and determining, according to the shielding relationship, whether to restart target tracking.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Methods, systems, and apparatus, including computer-readable storage media, optimizing interior gateway protocol (IGP) metrics using reinforcement learning (RL) for a network domain. The system can receive a topology (G) of a network domain, a set of flows (F), and an objective function. The system can optimize, using reinforcement learning, the objective function based on the received topology and the one or more flows F. The system can determine updated IGP metrics based on the optimization of the objective function. The IGP metrics for the metric domain may be updated with the updated IGP metrics.

Abstract: Methods, systems, and apparatus, including computer-readable storage media, optimizing interior gateway protocol (IGP) metrics using reinforcement learning (RL) for a network domain. The system can receive a topology (G) of a network domain, a set of flows (F), and an objective function. The system can optimize, using reinforcement learning, the objective function based on the received topology and the one or more flows F. The system can determine updated IGP metrics based on the optimization of the objective function. The IGP metrics for the metric domain may be updated with the updated IGP metrics.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Methods, systems, and apparatus, including computer-readable storage media, optimizing interior gateway protocol (IGP) metrics using reinforcement learning (RL) for a network domain. The system can receive a topology (G) of a network domain, a set of flows (F), and an objective function. The system can optimize, using reinforcement learning, the objective function based on the received topology and the one or more flows F. The system can determine updated IGP metrics based on the optimization of the objective function. The IGP metrics for the metric domain may be updated with the updated IGP metrics.

Abstract: The present invention is applicable to the technical field of panoramic videos. Provided are a panoramic video clip method, apparatus and device, and a storage medium. The method comprises acquiring a panoramic video photographed by means of a panoramic camera, and recording an advancing-direction viewing angle of the panoramic camera during moving photographing; carrying out a frame extraction operation on the acquired panoramic video to obtain a corresponding panoramic video frame, carrying out significant target detection on the panoramic video frame, tracking a detected significant target by using a preset target tracking algorithm, and acquiring a viewing angle at which the tracked significant target is located; and clipping the panoramic video according to the advancing-direction viewing angle and the viewing angle at which the significant target is located, so as to generate a target video corresponding to the panoramic video.

Abstract: The present application is applicable to the field of video processing. Provided are a target tracking method for a panoramic video, a readable storage medium, and a computer device. The method comprises: using a tracker to track and detect a target to be tracked to obtain a predicted tracking position of said target in the next panoramic video frame, calculating the reliability of the predicted tracking position, and using an occlusion detector to calculate an occlusion score of the predicted tracking position; determining whether the reliability of the predicated tracking position is greater than a preset reliability threshold value, and determining whether the occlusion score of the predicted tracking position is greater than a preset occlusion score threshold value; and using a corresponding tracking strategy according to the reliability and the occlusion score.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: Methods, systems, and apparatus, including computer-readable storage media, optimizing interior gateway protocol (IGP) metrics using reinforcement learning (RL) for a network domain. The system can receive a topology (G) of a network domain, a set of flows (F), and an objective function. The system can optimize, using reinforcement learning, the objective function based on the received topology and the one or more flows F. The system can determine updated IGP metrics based on the optimization of the objective function. The IGP metrics for the metric domain may be updated with the updated IGP metrics.

Abstract: The present invention relates to the field of panoramic cameras, and provides a method for tracking a target in a panoramic video, and a panoramic camera. The method is used to track a target in a panoramic video on the basis of a multi-scale correlation filter, and employs automatic electronic pan-tilt-zoom technology. The present invention provides more robust tracking, faster processing speeds, a greater range of application in different tracking scenarios, and can be used to ensure that a tracked target is always at the center of the screen.

Abstract: The present invention provides an anti-shake method for a panoramic video, which comprises: obtaining, in real time, an output video frame, a fisheye image corresponding thereto, a pixel timestamp in the video frame, and a corresponding camera gyroscope timestamp; synchronizing the pixel timestamp in the video frame with the corresponding camera gyroscope timestamp, and calculating a rotation matrix of the camera movement in the camera gyroscope timestamp; smoothing the camera movement and establishing a coordinate system of a smooth trajectory; correcting the fisheye image distortion; and rendering the fisheye image by means of forward rendering to generate a stable video. According to the present invention, the rolling shutter distortion of a panoramic video sequence can be corrected, the image distortion caused by the rolling shutter of a CMOS can be corrected, and the rolling shutter is eliminated, thereby achieving a better anti-shake effect of a video image.

Abstract: Provided are an automatic video editing method and a portable terminal, the method comprising: obtaining a video to be edited; extracting key frames of the video to be edited; inputting the key frames to a pre-trained scene classification method and a pre-trained target detection method, and respectively obtaining scene type markers and target object markers of the key frames; selecting multiple video segments from the video to be edited which satisfy preset editing criteria; respectively calculating average scores of the multiple video segments by means of a pre-trained image quality scoring method; respectively obtaining the video segment having the highest average score of each shot type for splicing.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.

Abstract: The present invention provides a generation method for a 3D asteroid dynamic map and a portable terminal. The method comprises: obtaining a panorama image; identifying the panorama image and segmenting into a sky region, a human body region, and a ground region; calculating a panoramic depth map for the sky region, the human body region, and the ground region; respectively transforming the panorama image and the panoramic depth map to generate an asteroid image and an asteroid depth map; generating an asteroid view under a virtual viewpoint; and rendering to generate a 3D asteroid dynamic map. By automatically generating the asteroid view under the virtual viewpoint, and synthesizing and rendering same, the technical solution of the present invention generates the asteroid dynamic map having a 3D effect from the panorama image.

Abstract: Provided in the present invention are a method for achieving a bullet time capturing effect and a panoramic camera. The method comprises: acquiring a panoramic video captured when a panoramic camera rotates around a capture target; acquiring from within the panoramic video hemispherical images close to the side of the capture target; splicing the hemispherical images to generate a spliced image; and fixing a viewpoint of the spliced image, thus achieving a bullet time capturing effect. According to the present invention, only one panoramic camera is needed to be able to capture the bullet time capturing effect, so that the capturing cost of the bullet time capturing effect in the present invention is low. Meanwhile, since the bullet time capturing effect is obtained by means of a panoramic video being captured when a panoramic camera rotates around a capture target and processing being carried out on the panoramic video, the precision is high.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a computer chip placement. One of the methods includes obtaining netlist data for a computer chip; and generating a computer chip placement, comprising placing a respective macro node at each time step in a sequence comprising a plurality of time steps, the placing comprising, for each time step: generating an input representation for the time step; processing the input representation using a node placement neural network having a plurality of network parameters, wherein the node placement neural network is configured to process the input representation in accordance with current values of the network parameters to generate a score distribution over a plurality of positions on the surface of the computer chip; and assigning the macro node to be placed at the time step to a position from the plurality of positions using the score distribution.