Abstract: A method and an apparatus of recognizing a package sorting behavior are provided. A target detection is performed on an image frame in a target video, so as to acquire at least one human detection box and at least one package detection box; a motion trajectory of the human detection box and a motion trajectory of the package detection box are tracked respectively; in a process of trajectory tracking for a package, a moment at which the package is thrown is recognized based on a current motion trajectory tracked for the package; and motion information of the package from the moment at which the package is thrown to a current moment is acquired, and a sorting behavior of the package is recognized based on the motion information.

Abstract: A fresh air conditioning system includes a first cooling device having a first cooling end and a first heating end; a dehumidifying rotary defining a first section and a second section. An airflow switching device directs a fresh airflow toward the first cooling end or the first heating end, and then flows to the first section. A return airflow passes through a first heat exchanger, and conducts heat exchange with the other end of the first cooling device, and then flows to the second section. Or switching opposite ends of the first cooling device to selectively cool or heat, the fresh airflow conducts heat exchange with one end of the first cooling device, and then flows to the first section. The return airflow conducts heat exchange with the other end of the cooling device and then flows to the second section.

Abstract: The present disclosure relates to an article sorting apparatus and an article sorting system, wherein the article sorting apparatus includes: a first receiving means and a second receiving means which are both configured to receive an article, wherein the second receiving means is arranged below the first receiving means along a vertical direction; a transfer means arranged upstream of the second receiving means for transferring a received article to the second receiving means; and a sorting member for sorting the article to the first receiving means or the transfer means. The article sorting system includes an article sorting apparatus. The first receiving means and the second receiving means are arranged longitudinally along a vertical direction, which reduces the occupied space of the article sorting apparatus and allows for more space for article storage.

Abstract: A method and an apparatus for retrieving a target are provided. The method may include: obtaining at least one image and a description text of a designated object; extracting image features of the image and text features of the description text by using a pre-trained cross-media feature extraction network; and matching the image features with the text features to determine an image that contains the designated object.

Abstract: The present disclosure relates to the field of video learning. Provided are a video representation self-supervised contrastive learning method and apparatus. The method includes, according to optical flow information corresponding to each video frame of a video clip, obtaining, by means of calculation, a motion amplitude diagram which corresponds to each video frame of the video clip; according to the motion amplitude diagram corresponding to each video frame of the video clip, determining motion information which corresponds to the video clip; and performing video representation self-supervised contrastive learning according to a video clip sequence, and the motion information corresponding to each video clip.

Abstract: The present disclosure provides a multi-modal pre-training method and apparatus. The method includes: sampling a video in a video-text pair to obtain a first video frame sequence; performing word segmentation processing on a text in the video-text pair to obtain a first word segmentation sequence; masking on the first video frame sequence to obtain a second video frame sequence; masking on the first word segmentation sequence to obtain a second word segmentation sequence; encoding the first video frame sequence to obtain a first video feature, and encoding the first word segmentation sequence to obtain a first word segmentation feature; encoding the second video frame sequence to obtain a second video feature, and encoding the second word segmentation sequence to obtain a second word segmentation feature; performing multi-modal pre-training by using the first video feature, the first word segmentation feature, the second video feature and the second word segmentation feature.

Abstract: An image paragraph description generating method and apparatus, a medium and an electronic device. The method comprises: obtaining image features of an image (S101); determining the topic of the image according to the image features by using a convolutional automatic coding method (S102); and determining image description information of the image according to the topic by using a long short-term memory (LSTM)-based paragraph coding method (S103), wherein the LSTM comprises a sentence-level LSTM and a paragraph-level LSTM.

Abstract: Disclosed in the present application are an action recognition method and apparatus. The method comprises: acquiring a video clip, and determining at least two target objects in the video clip; for each of the at least two target objects, connecting positions of the target object in various video frames of the video clip, so as to construct a spatiotemporal graph of the target object; dividing at least two spatiotemporal graphs, which are constructed for the at least two target objects, into a plurality of spatiotemporal graph subsets, and determining a finally selected subset from the plurality of spatiotemporal graph subsets; and determining an action category of the action between the target objects that is indicated by a relationship between the spatiotemporal graphs included in the finally selected subset as the action category of an action included in the video clip.

Abstract: Embodiments of the present application disclose a method and apparatus for detecting a body. A particular embodiment of the method comprises: acquiring a set of candidate body image region in a target image; for a candidate body image region in the set of candidate body image region: acquiring position information and confidences of candidate body key points in the candidate body image region; determining the candidate body key points within a body contour according to body contour information in the candidate body image region and the acquired position information; and determining a confidence score of the candidate body image region according to a sum of the confidences of the candidate body key points within the body contour; and determining a body image region from the set of candidate body image regions according to the confidence scores of the candidate body image regions in set of the candidate body image regions.

Abstract: The present disclosure relates to a broadcast directing method, apparatus and system, and a non-transitory computer-storable medium, which relate to the technical field of computers. The broadcast directing method includes acquiring a reference video stream from a reference camera position; performing event recognition on the reference video stream to obtain at least one reference event frame interval; determining a local sequence of each reference event frame interval according to a correspondence relationship between the event and a camera position identification, the local sequence comprising a camera position identification of each frame image of a video to be played corresponding to the reference event frame interval and a frame identification corresponding to the camera position identification; generating a broadcast directing sequence according to the local sequence; and generating a broadcast directing video according to the broadcast directing sequence and a video stream of a camera position.

Abstract: The present disclosure relates to the technical field of image processing, and in particular to an image description generation method, apparatus and system, and a medium and an electronic device.

Abstract: A method and apparatus for generating a captioning device, and a method and apparatus for outputting a caption. The method for generating a captioning device comprises: acquiring a sample image set; inputting the sample image set into an image encoder of a sentence generator, so as to output an object set; grouping the object set into a first object set and a second object set, wherein the first object set is an object set that is included within a preset object set, and the second object set is an object set that is excluded from the preset object set; inputting, into a sentence decoder of the sentence generator, the object set output by the image encoder, and performing a beam search in a decoding step by taking the first object set and the second object set as constraint conditions, so as to generate a pseudo-image sentence pair set; and training the sentence generator by taking the pseudo-image sentence pair set as a sample set, so as to obtain a captioning device.

Abstract: Disclosed are a method and device for recognizing a video. One specific embodiment of the method comprises: obtaining a video to be identified; inputting said video to a pre-trained local and global representation propagation LGD model to obtain the category of said video, wherein the LGD model learns a spatial-temporal representation in said video based on diffusion between local and global representations. According to this embodiment, the spatial-temporal representation in the video is learned based on diffusion between the local and global representations.

Abstract: The present disclosure provides a self-service settlement method, apparatus and storage medium, and relates to the technical field of self-service shopping, wherein the method includes: obtaining a monitoring image acquired by an image capture device and corresponding to commodities to be settled which are placed on a settlement counter; obtaining information of the commodities to be settled through image recognition; obtaining a first weight acquired by a weight detection device, obtaining a second weight based on the information of the commodities to be settled, judging whether the information of the commodities to be settled is matched with commodities to be confirmed according to a weight comparison result; and obtaining purchased commodity settlement information under the condition that the information of the commodities to be settled is matched with the commodities to be confirmed, and performing checkout processing.

Abstract: A method and an electronic device for pedestrian re-identification are provided. The method may include: collecting a target image set including at least two target images, where each target image includes at least one person; extracting a global feature and a head-shoulder feature of each person in each target image in the target image set, where the global feature is an overall appearance feature, and the head-shoulder feature is a feature of a head part and a shoulder part determining a representation feature of each person in each target image based on the global feature and the head-shoulder feature of each person in each target image; and determining a given person in different target images based on the representation feature of each person in each target image.

Abstract: The present disclosure relates to an information sending method, apparatus, system and a computer readable storage medium, and pertains to the technical field of computers. The method in the present disclosure includes: analyzing video data of an offline user to determine an attribute of the offline user; searching for historical access information of at least one online user matching the attribute of the offline user; and determining at least one object recommended to the offline user according to the historical access information of each of the at least one online user, and sending information of the at least one object to the offline user.

Abstract: The present disclosure relates to a broadcast directing method, apparatus and system, and a non-transitory computer-storable medium, which relate to the technical field of computers. The broadcast directing method includes acquiring a reference video stream from a reference camera position; performing event recognition on the reference video stream to obtain at least one reference event frame interval; determining a local sequence of each reference event frame interval according to a correspondence relationship between the event and a camera position identification, the local sequence comprising a camera position identification of each frame image of a video to be played corresponding to the reference event frame interval and a frame identification corresponding to the camera position identification; generating a broadcast directing sequence according to the local sequence; and generating a broadcast directing video according to the broadcast directing sequence and a video stream of a camera position.

Abstract: In accordance with implementations of the subject matter described herein, a solution for fine-grained image recognition is proposed. This solution includes extracting a global feature of an image using a first sub-network of a first learning network; determining a first attention region of the image based on the global feature using a second sub-network of the first learning network, the first attention region including a discriminative portion of an object in the image; extracting a first local feature of the first attention region using a first sub-network of a second learning network; and determining a category of the object in the image based at least in part on the first local feature. Through this solution, it is possible to localize an image region at a finer scale accurately such that a local feature at a fine scale can be obtained for object recognition.

Abstract: The present disclosure relates to the technical field of image processing, and in particular to an image description generation method, apparatus and system, and a medium and an electronic device.

Abstract: A method and an apparatus for retrieving a target are provided. The method may include: obtaining at least one image and a description text of a designated object; extracting image features of the image and text features of the description text by using a pre-trained cross-media feature extraction network; and matching the image features with the text features to determine an image that contains the designated object.