Abstract: Disclosed herein is a system for facilitating managing incidents occurring in areas monitored by low data-rate monitoring devices using the low data-rate monitoring devices, in accordance with some embodiments. Accordingly, the system comprises a processor, a device server, and a data visualization device. Further, a camera of a low data-rate monitoring device is configured for capturing video of an area. Further, the processor comprises a machine learning (ML) hardware accelerator configured for performing machine learning processing of the video. Further, the processor is configured for generating processed data. Further, the device server is configured for receiving the processed data based on the transmitting of the processed data from a low data-rate transceiver of the low data-rate monitoring device and transmitting a notification to a device.

Abstract: A playback application is configured to analyze audio frames associated with transitions between segments within a media title to identify one or more portions of extraneous audio. The playback application is configured to analyze the one or more portions of extraneous audio and then determine which of the one or more corresponding audio frames should be dropped. In doing so, the playback application can analyze a topology associated with the media title to determine whether any specific portions of extraneous audio are to be played outside of a logical ordering of audio samples set forth in the topology. These specific portions of extraneous audio are preferentially removed.

Abstract: The disclosure provides a method for processing a video, an electronic device, and a computer storage medium. The method includes: determining a plurality of first identifiers related to a first object based on a plurality of frames including the first object in a target video; determining a plurality of attribute values associated with the plurality of first identifiers based on a knowledge base related to the first object; determining a set of frames from the plurality of frames, in which one or more attribute values associated with one or more first identifiers determined from each one of the set of frames are predetermined values; and splitting the target video into a plurality of video clips based on positions of the set of frames in the plurality of frames.

Abstract: Vehicle display device (10) including a display unit (50), installed in a cabin of a vehicle and having a display face oriented in a different direction from a direction of a driver (DR), configured to display an image depicting a surrounding area of the vehicle, and a mirror unit (55) installed in the cabin of the vehicle and configured to reflect some or all of an image area displayed on the display unit (50). A visible range of the surrounding area visible to the driver through an image of the display unit (50) reflected in the mirror unit (55) changes according to movement of a viewing position of the driver (DR) with respect to the mirror unit (55).

Abstract: A data compression apparatus includes: a compression unit that performs a compression process on output data that is sequentially outputted as time series data by a monitoring apparatus for monitoring a monitoring target range; an output unit that outputs the output data on which the compression process is performed, to a data processing apparatus that performs an object detection process for detecting an object that exists in the monitoring target range by using the output data; and a setting unit that sets a compression ratio used in the compression unit, on the basis of an accuracy information indicating a relationship between a compression ratio at which the output data is compressed and a detection accuracy of the object by the object detection process performed by using the output data compressed at the compression ratio.

Abstract: A communication method between a source device and a target device utilizes speculative connection setup between the source device and the target device, target-device-side packet ordering, and fine-grained ordering to remove packet dependencies.

Abstract: A digital evidence management system 1 is configured to comprise a storage device that stores log data of a device operated in a predetermined process and video data obtained by shooting the process, and a computing device that executes a processing of specifying sectional video data for a time frame where the log data exists out of the video data, a processing of applying a predetermined data reduction processing to the sectional video data, and a processing of storing the video data subjected to the data reduction processing for the sectional video data in the storage device as digital evidence for the process.

Abstract: Automatically recommending sound effects based on visual scenes enables sound engineers during video production of computer simulations, such as movies and video games. This recommendation engine may be accomplished by classifying SFX and using a machine learning engine to output a first of the classified SFX for a first computer simulation based on learned correlations between video attributes of the first computer simulation and the classified SFX.

Abstract: A method to correct a digital image to reverse the effect of signal diffusion among pixels of the digital image. For a target pixel j of the digital image, a set of signal values and a set of signal amplitudes are received, each corresponding to a set of kernel pixels i surrounding and including the target pixel j. For each kernel pixel i, a weighting coefficient is computed based on the signal amplitude of that kernel pixel i and on the signal amplitude of the target pixel j. A linear combination of signal values corresponding to the set of kernel pixels i is computed, wherein the signal value for each pixel i is weighted by the weighting coefficient corresponding to that pixel i. The linear combination is stored in volatile memory of an electronic device as a corrected signal value for the target pixel j.

Abstract: Video information defining video content may be accessed. Music information defining a music track providing an accompaniment for video content may be accessed. The music track may have pulses and one or more music events. Individual music events may correspond to different moments within the music track. One or more music events may be individually classified into one or more categories based on intensities of one or pulses occurring within the music event. One or more visual effects may be selected for different moments within the music track based on the categories of the music events. One or more visual effects may be applied to the video content. One or more visual effects may be applied to one or more moments within the video content aligned to one or more different moments within the music track.

Abstract: An imaging apparatus includes: a board; a recording medium accommodation portion provided on the board and configured to removably accommodate a recording medium; a radiator plate provided at a position away from the recording medium accommodation portion; a thermal conductive sheet including a first portion fixed to the radiator plate and a second portion in contact with the recording medium accommodation portion; a cushion member configured to urge a second portion of the thermal conductive sheet toward the recording medium accommodation portion and to maintain contact between a second portion of the thermal conductive sheet and the recording medium accommodation portion; and a cushion member support member configured to support the cushion member.

Abstract: An image decoding method includes: dividing a current block into sub-blocks; deriving, for each sub-block, one or more prediction information candidates; obtaining an index; and decoding the current block using the prediction information candidate selected by the index.

Abstract: A method for observing a sample is placed between a light source and an image sensor, comprising at least 10000 pixels, the light source emits an illuminating beam, which propagates to the sample, the light beam is emitted in an illumination spectral band (??11) lying above 800 nm, the method comprising the following steps: (a) illuminating the sample with the light source; (b) acquiring an image of the sample (I0) with the image sensor, no image-forming optics being placed between the sample and the image sensor; and (c) the image sensor being configured such that it has a detection spectral band (??20), which blocks wavelengths in the visible spectral band, such that the image may be acquired in ambient light.

Abstract: In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.

Abstract: The disclosure includes a system and method for decomposing a video to salient fragments and synthesizing a video composition based on the salient fragments. A computer-implemented method receives a first set of salient fragments and a first set of clusters extracted from a video, where each cluster includes related salient fragments connected by a connectivity graph. The method determines a weight associated with each of the salient fragments and each of the clusters based on an activity level associated with the respective salient fragment or cluster and determine a permissible zone of activity. The method determines a spatial-temporal distortion to be applied to each salient fragment and cluster and synthesizes a video composition based on the first set of salient fragments, the first set of clusters and non-salient portions of the video using weighted editing.

Abstract: Training a classifier using embeddings and building a latent space is disclosed. The embeddings may be based on weights in a trained machine learning model. Also, operation of the classifier to process video segments in real-time using the using the weights and the latent space is disclosed. The embeddings and the latent space allow the classification to be performed at an overall reduced dimensionality. The latent space is designed to efficiently scale with an increasing number of queries to permit fast search through the space. Embodiments permit real-time operation on video with dynamic features. The classifier reduces the bandwidth demand of video camera-equipped devices at a network edge by setting aside, accurately, non-informative video sequences rather than uploading video too many things over the network. Applications include security cameras, robots and augmented reality glasses.

Abstract: A face detection system includes a terminal device and a server communicably connected to the terminal device. The terminal device acquires a recorded video data file selected by user operation and transmits it to the server. The server converts the received recorded video data file into recorded video data having a predetermined format, detects a face of one or more persons based on the converted recorded video data, generates one or more face-cut images by cutting out a region of the detected face, associates information of an image capturing time point at which a person corresponding to the face cut-out image is captured with the face cut-out image, and transmits the associated information to the terminal device. The terminal device displays a thumbnail image of the received face cut-out image and information of the image capturing time point side by side in a time series on a monitor.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for commenting a video, and relate to the field of cloud computing. The method may include: acquiring content information of a to-be-processed video frame; constructing text description information based on the content information, the text description information being used to describe a content of the to-be-processed video frame; importing the text description information into a pre-trained text conversion model to obtain commentary text information corresponding to the text description information, the text conversion model being used to convert the text description information into the commentary text information; and converting the commentary text information into audio information.

Abstract: A communication method between a source device and a target device utilizes speculative connection setup between the source device and the target device, target-device-side packet ordering, and fine-grained ordering to remove packet dependencies.

Abstract: What is disclosed is a video system. The video system includes a digital video recorder comprising a first camera interface configured to receive video captured from a first plurality of cameras, a packet interface configured to receive in a packet format video captured by a second plurality of cameras, and a storage system configured to store the video captured by the first plurality of cameras and the video captured by the second plurality of cameras. The video system also includes a video encoder coupled to the digital video recorder by a packet link, where the video encoder includes a second camera interface configured to receive video captured from the second plurality of cameras and an output interface configured to transfer in the packet format the video captured by the second plurality of cameras for delivery to the digital video recorder over the packet link.