Nec Corporation

Florian Beye

Takanori Iwai

Hayato Itsumi

Yusuke Shinohara

Koichi Nihei

Charvi Vitthal

The present disclosure provides an information processing apparatus and the like capable of specifying an object in an image that may affect traveling of a vehicle. An information processing apparatus includes: an acquisition unit that acquires an image captured by an image capturing unit mounted on a vehicle; an object detection unit that detects one or more objects in the acquired image; a traveling region specifying unit that specifies a traveling region, in which the vehicle is traveling, from regions in the acquired image; and a determination unit that determines, based on the traveling region, an image processing region, which is subjected to image processing, among regions of the one or more objects.

Information processing apparatus, image transmission system, and information processing method

A region prediction unit predicts the target region in the second image frame based on the target region detected in a first image frame and a time interval between the first and second image frames. The region prediction unit predicts the target region in the third image frame based on the target region detected in the second image frame and a time interval between the second and third image frames. A region determination unit determines, as an image-processing region, a region obtained by adding a margin to the target prediction region in the third image frame in accordance with an overlapping portion between the detected target region in the second image frame and the prediction region in the second image frame.

Information processing device, information processing system, and information processing method

Estimating determines, on the basis of processed quantized values, a quantization interval for quantizing input element values, which are elements of input values serving as a processing object and determines, on the basis of the processed quantized values, a probability distribution of quantization value candidates, which are candidates of quantized values of the input element values; quantizing uses the quantization interval to quantize the input element values and determine a quantized value; and entropy encoding uses the probability distribution to perform entropy encoding of a quantization time sequence which includes quantized value codes indicating the quantized values of the input element values.

Encoding device, decoding device, encoding method, decoding method, and program

A transmission method, a transmission system, and a system control device that are capable of transmitting a high-quality video suitable for remote operation while suppressing loss and delay are provided. The transmission method is a transmission method of transmitting an image photographed by a plurality of cameras mounted on a vehicle, via a network, and includes a bandwidth estimation step of estimating an available bandwidth of the network, and a camera bandwidth allocation step of allocating a bandwidth to each camera according to the available bandwidth and an importance degree of each camera.

Transmission method, transmission system, and system control device

The present disclosure provides a data analysis apparatus including a time series analysis state memory unit configured to store a state of a time series data analysis; a time series analysis unit configured to analyze input data points belonging to time series data generated by a plurality of data sources and update the state stored the time series analysis state memory unit; and a filtering apparatus including: a data fetching unit configured to fetch data points from the data sources; a quality target memory unit; and a data point selection optimization unit configured to select data points based on a quality target stored in the quality target memory unit and data input from the time series analysis state memory unit.

Data analysis apparatus, method, and computer readable method

An information processing device includes: an image acquisition unit configured to acquire an image captured by an imaging unit mounted on a vehicle; a target detection unit configured to detect a target region including a target in the acquired image; a classification identification unit configured to identify classification including a type of the detected target and a size of the detected target region; and a region determination unit configured to determine a region obtained by adding a margin corresponding to the identified classification to the target region as an image processing region.

An estimation unit of a visual object tracking apparatus estimates a plurality of estimated bounding boxes and estimated object IDs respectively corresponding to the estimated bounding boxes based on a plurality of predicted bounding boxes and a plurality of detected bounding boxes. For example, the 'detected bounding boxes' are “bounding boxes (bounded areas)” detected by a detector in each of a plurality of frames in a time series such as moving images. The “bounding box” is a frame surrounding an image of an object detected in a frame. For example, the “predicted bounding box” is a “bounding box” predicted by a predictor based on an estimated bounding box(es) estimated for one or a plurality of frames in the past.

Visual object tracking method, visual object tracking system, machine learning method, and learning system

According to the present disclosure, a video analysis method and a video analysis system in which video analysis accuracy at a cloud server and an edge is improved is provided. The video analysis method includes a first image analysis step of analyzing an input image frame on the edge side, a difference value estimation step of estimating a difference value between an evaluation value of an analysis result in the first image analysis step and an evaluation value of an analysis result being predicted when the input image frame is analyzed by the cloud server, and a filtering step of determining whether to transmit the input image frame to the cloud server, based on the difference value.

Video analysis method and system, and information processing device, transmits image frame to cloud server based on difference between analysis result on the edge side and result predicted on a cloud server

A system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for generating a mask based on received data from a sensor, wherein the mask includes a plurality of importance values, and each region of the received data is designated a corresponding importance value of the plurality of importance values. The processor is configured to execute the instructions for encoding the received data based on the mask; and transmitting the encoded data to a decoder for defining reconstructed data. The processor is configured to execute the instructions for computing a loss based on the reconstructed data, the received data and the mask. The processor is configured to execute the instructions for providing training to an encoder for encoding the received data based on the computed loss.

Data compression system and method of using

The image analysis apparatus includes: a first analysis unit that analyzes image frames by using a first image analysis model; a second analysis unit that can analyze the image frames by using a second image analysis model an analysis accuracy of which is lower; a storage unit that stores therein analyzed frames, which are already analyzed by using the first and second image analysis models, in association with an evaluation value for evaluating a result of an analysis performed with the second image analysis model; an extraction unit that extracts an analyzed frame that satisfies an extraction condition based on the evaluation value; and an update unit that updates the second image analysis model by using a result of an analysis performed with the first image analysis model on the extracted analyzed frame, and a result of an analysis performed with the first image analysis model on a new frame.

Online distillation using frame cache

The throughput estimation devicecomprises a storagewhich stores tuples, each including an evaluation formula and parameter data, and a calculation device constructing unitwhich constructs a calculation device according to a configuration including data associated with software processes, data associated with hardware resources, data associated with interconnections between a software process and a hardware resource, and the tuples, wherein the calculation device inputs a load vector describing input information load to the software processes, and outputs a result value.

Throughput estimation device and throughput estimation system

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.

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Tokyo, Japan

Florian Beye