Abstract: An image decoding method, a decoder and a storage medium are provided. The method includes: receiving code stream data, and parsing the code stream data to obtain a coding tree unit corresponding to the code stream data; parsing an i-th node of i-th layer corresponding to the coding tree unit to obtain i-th state parameter and i-th flag parameter corresponding to the i-th node; performing detection processing on the i-th node according to the i-th state parameter and the i-th flag parameter to obtain an i-th detection result; acquiring a (i+1)th node of a (i+1)th layer corresponding to the coding tree unit; continuing to perform detection processing on the (i+1)th node, and traversing all the nodes corresponding to the coding tree unit until all the coding unit data corresponding to the coding tree unit is obtained; and generating a decoded image corresponding to the code stream data.

Abstract: An image decoding method, a decoder and a storage medium are provided. The method includes: receiving code stream data, and parsing the code stream data to obtain a coding tree unit corresponding to the code stream data; parsing an i-th node of i-th layer corresponding to the coding tree unit to obtain i-th state parameter and i-th flag parameter corresponding to the i-th node; performing detection processing on the i-th node according to the i-th state parameter and the i-th flag parameter to obtain an i-th detection result; acquiring a (i+1)th node of a (i+1)th layer corresponding to the coding tree unit; continuing to perform detection processing on the (i+1)th node, and traversing all the nodes corresponding to the coding tree unit until all the coding unit data corresponding to the coding tree unit is obtained; and generating a decoded image corresponding to the code stream data.

Abstract: A method for determining a quantity of passive inter-modulation sources. A quantity of passive inter-modulation sources of a multi-antenna device is obtained. An interference signal that is excited by a sounding signal and that is from a passive inter-modulation source is received. Singular value decomposition is performed on a first matrix corresponding to the interference signal. A quantity of passive inter-modulation sources is determined based on a result of the singular value decomposition. In this way, the quantity of passive inter-modulation sources of the multi-antenna device is directly determined by performing operations including signal receiving and sending and calculation of the multi-antenna device, to implement convenient, accurate, and secure detection of information about the quantity of the passive inter-modulation sources of the multi-antenna device.

Abstract: A method for obtaining information about a channel and an apparatus are provided. The method includes: obtaining N+1 first feedback signals Yn from a passive inter-modulation source; obtaining first update direction information p based on the N+1 first feedback signals Yn; and obtaining information about a channel with the passive inter-modulation source based on the first update direction information p. According to the method and the apparatus in this application, complexity of obtaining the information about the channel with the passive inter-modulation source can be reduced, time and power consumption required for obtaining the information about the channel can be reduced, and accuracy of the information about the channel can be improved.

Abstract: Some implementations disclosed herein provide techniques and arrangements to enable translating language characters in media content. For example, some implementations receive a user selection of a first portion of media content. Some implementations disclosed herein may, based on the first portion, identify a second portion of the media content. The second portion of the media content may include one or more first characters of a first language. Some implementations disclosed herein may create an image that includes the second portion of the media content and may send the image to a server. Some implementations disclosed herein may receive one or more second characters of a second language corresponding to a translation of the one or more first characters of the first language from the server.

Abstract: According to implementations of the subject matter described herein, there is provided a solution for text recognition in an image. In this solution, a target text line area, which is expected to include a text to be recognized, is determined from an image. Probability distribution information of a character model element(s) present in the target text line area is determined using a single character model. The single character model is trained based on training text line areas and respective ground-truth texts in the training text line areas. Texts in the training text line areas are arranged in different orientations, and/or the ground-truth texts comprise texts are related to various languages (e.g., texts related to a Latin and an Eastern languages). The text in the target text line area can be determined based on the determined probability distribution information. The single character model enables more efficient and convenient text recognition.

Abstract: Some implementations disclosed herein provide techniques and arrangements to enable translating language characters in media content. For example, some implementations receive a user selection of a first portion of media content. Some implementations disclosed herein may, based on the first portion, identify a second portion of the media content. The second portion of the media content may include one or more first characters of a first language. Some implementations disclosed herein may create an image that includes the second portion of the media content and may send the image to a server. Some implementations disclosed herein may receive one or more second characters of a second language corresponding to a translation of the one or more first characters of the first language from the server.

Abstract: A passive intermodulation (PIM) fault point detection method includes sending, by an antenna feeder system of a network device, a plurality of downlink signals of different corresponding frequencies, and receiving a first signal, wherein the first signal is an uplink PIM signal generated by excitation by at least two downlink signals of the plurality of downlink signals. The PIM method further includes determining, by the network device, second signals corresponding to a plurality of detection points, wherein a second signal of the second signals corresponds to a detection point of the plurality of detection points, and is a pre-estimated signal for a PIM signal of the detection point. The PIM method further includes determining, by the network device, a PIM fault point from the plurality of detection points based on the first signal and the second signals corresponding to the plurality of detection points.

Abstract: This application provides a passive inter-modulation source positioning method and an apparatus, and relates to the field of wireless communications technologies. The method includes: A network device sequentially performs a scanning process on each of a plurality of scanning spots by using the following steps: sending a plurality of downlink signals with different frequencies for a first scanning spot by using a transmit antenna, and receiving an uplink PIM signal for the first scanning spot by using a receive antenna, where the first scanning spot is any one of the plurality of scanning spots, and the uplink PIM signal is generated by excitation by any at least two of the plurality of downlink signals; and the network device determines a PIM source from the plurality of scanning spots based on uplink PIM signals respectively corresponding to the plurality of scanning spots.

Abstract: According to implementations of the subject matter described herein, there is provided a solution for text recognition in an image. In this solution, a target text line area, which is expected to include a text to be recognized, is determined from an image. Probability distribution information of a character model element(s) present in the target text line area is determined using a single character model. The single character model is trained based on training text line areas and respective ground-truth texts in the training text line areas. Texts in the training text line areas are arranged in different orientations, and/or the ground-truth texts comprise texts are related to various languages (e.g., texts related to a Latin and an Eastern languages). The text in the target text line area can be determined based on the determined probability distribution information. The single character model enables more efficient and convenient text recognition.

Abstract: Implementations of the present disclosure provide a solution for text line detection. In this solution, a first text region comprising a first portion of at least a first text element and a second text region comprising a second portion of at least a second text element are determined from an image. A first feature representation is extracted from the first text region and a second feature representation is extracted from the second text region. The first and second feature representations comprise at least one of an image eature representation or a semantic feature representation of the image. A link relationship between the first and second text regions can then be determined based at least in part on the first and second feature representations. The link relationship can indicate whether the first and second portions of the first and second text elements are located in a same text line.

Abstract: The present disclosure discloses a storage method, a data processing method, a device and an apparatus based on a non-volatile memory, the method comprising: acquiring a weight value that needs to be stored in the non-volatile memory; determining a conductivity value corresponding to the weight value according to a first conversion method if the non-volatile memory is a high-resistance storage device; determining a conductivity value corresponding to the weight value according to a second conversion method which is different from the first conversion method if the non-volatile memory is a low-resistance memory device; and setting the non-volatile memory according to the conductivity value to store the weight value.

Abstract: The disclosure relates to a method and apparatus for training a learning machine, wherein the apparatus includes: a broadcasting module for broadcasting an initial global model for a training cycle to a plurality of worker nodes; a receiving module for receiving a plurality of updated local models from the plurality of worker nodes, wherein each updated local model is generated by one of the plurality of worker nodes independently based on a data split assigned to the worker node and the initial global model for the training cycle; an aggregating module for aggregating the plurality of updated local models to obtain an aggregated model; and a generating module for generating an updated global model for the training cycle based at least on the aggregated model and historical information which is obtained from a preceding training cycle.

Abstract: Embodiments of this application provide a scheduling method and apparatus, and relate to the communications field. The method includes: Abase station obtains information about predicted interference of N downlink signals of the base station to an uplink signal, where N is an integer greater than 1, and the information about predicted interference is used to indicate predicted interference impact, on the uplink signal, of passive intermodulation signals generated by interaction between the N downlink signals. Then, the base station may perform resource scheduling on the N downlink signals and/or the uplink signal based on the obtained information about predicted interference, where the resource scheduling includes frequency domain resource scheduling and space domain resource scheduling. In this application, the interference impact of the passive intermodulation signals can be effectively reduced, thereby improving system performance and radio resource utilization.

Abstract: Some implementations disclosed herein provide techniques and arrangements to enable translating language characters in media content. For example, some implementations receive a user selection of a first portion of media content. Some implementations disclosed herein may, based on the first portion, identify a second portion of the media content. The second portion of the media content may include one or more first characters of a first language. Some implementations disclosed herein may create an image that includes the second portion of the media content and may send the image to a server. Some implementations disclosed herein may receive one or more second characters of a second language corresponding to a translation of the one or more first characters of the first language from the server.

Abstract: Some implementations disclosed herein provide techniques and arrangements to enable translating language characters in media content. For example, some implementations receive a user selection of a first portion of media content. Some implementations disclosed herein may, based on the first portion, identify a second portion of the media content. The second portion of the media content may include one or more first characters of a first language. Some implementations disclosed herein may create an image that includes the second portion of the media content and may send the image to a server. Some implementations disclosed herein may receive one or more second characters of a second language corresponding to a translation of the one or more first characters of the first language from the server.

Abstract: Some implementations may present a media file that includes video on a touchscreen display. A user gesture performed on the touchscreen display may be detected. The user gesture may include one of a tap gesture, a swipe gesture, or a tap and hold and drag while holding gesture. Text selected by the user gesture may be determined. One or more follow-up actions may be performed automatically based at least partly on the text selected by the user gesture.

Abstract: An image processing method and an apparatus (300) are provided, the method includes: obtaining a depth image of a protuberant object (210); selecting a plurality of test points placed on a circle around a pixel in the depth image as a center point of the circle; calculating a protuberance value of the center point based on a comparison between the depth value of the center point and the depth value of each of the selected test points (240); and determining one or more salient points of the protuberant object by using the protuberance value of each pixel in the depth image (250).

Abstract: The use of the alternating direction method of multipliers (ADMM) algorithm to train a classifier may reduce the amount of classifier training time with little degradation in classifier accuracy. The training involves partitioning the training data for training the classifier into multiple data blocks. The partitions may preserve the joint distribution of input features and an output class of the training data. The training may further include performing an ADMM iteration on the multiple data blocks in an initial order using multiple worker nodes. Subsequently, the training of the classifier is determined to be completed if a stop criterion is satisfied following the ADMM iteration. Otherwise, if the stop criterion is determined to be unsatisfied following the ADMM iteration, one or more additional ADMM iterations may be performed on different orders of the multiple data blocks until the stop criterion is satisfied.

Abstract: Some implementations disclosed herein provide techniques and arrangements to enable translating language characters in media content. For example, some implementations receive a user selection of a first portion of media content. Some implementations disclosed herein may, based on the first portion, identify a second portion of the media content. The second portion of the media content may include one or more first characters of a first language. Some implementations disclosed herein may create an image that includes the second portion of the media content and may send the image to a server. Some implementations disclosed herein may receive one or more second characters of a second language corresponding to a translation of the one or more first characters of the first language from the server.