Mitsubishi Electric Corporation

Mitsubishi Electronic Corporation

Mistubishi Electric Corporation

Akira Minezawa

Shunichi Sekiguchi

Kazuo Sugimoto

Tokumichi Murakami

Yoshimi Moriya

Hiroharu Sakate

Yusuke Itani

Ryoji Hattori

Norimichi Hiwasa

Yoshiaki Kato

Kazuyuki Miyazawa

Hideaki Maehara

Tomoya Sawada

Mengxiong Wang

Naohiro Shibuya

Yuichi Ikeda

Hidetoshi Mishima

Takayuki Semitsu

Momoyo Hino

Momoyo Nagase

Yukihiro Toku

A position detector applies an image to be inspected to a position detection model generated by machine learning using image information of a training image to calculate a score for a portion of an image to be inspected. The position detector specifies a portion of the image where the calculated score is a score that satisfies a predetermined relationship to detect the position of a metal part in the image to be inspected. A position outputter outputs the position of the metal part detected by the position detector.

Inspection device, inspection method, and recording medium for inspecting an inspection target with machine learning

When removing a block distortion occurring in a local decoded image, a loop filtering partof an image coding device carries out a filtering process on each of signal components (a luminance signal component and color difference signal components) after setting the intensity of a filter for removing the block distortion for each of the signal components according to a coding mode (an intra coding mode or an inter coding mode) selected by a coding controlling part

Image decoding device and image decoding method deriving block filtering strength parameter

Image decoding device and image decoding method deriving filtering strength parameter

Image coding device, image decoding device, image coding method, and image decoding method

An image decoding device including an intra prediction unit for, when a coding mode for a coding block is an intra coding mode, carrying out an intra-frame prediction process on each of processing blocks to generate a prediction image, each of the processing blocks being the coding block or a sub-block obtained by dividing the coding block, wherein, when an intra prediction parameter indicates a vertical prediction process and a size of the processing block is less than a predetermined size, the intra prediction unit performs a specific processing and when the intra prediction parameter indicates the vertical prediction process and the size of the processing block is greater than or equal to the predetermined size, the intra prediction unit performs a specific processing.

Image encoding device, image decoding device, image encoding method, image decoding method, and image prediction device

A congestion degree estimating unit () which estimates, for each image frame, a congestion degree of an area in which each object detected by an object detecting unit () is present is provided. An object selecting unit () refers to an estimation result of the congestion degree by the congestion degree estimating unit () for each image frame, and selects an object present in an area the congestion degree of which is equal to or lower than a first threshold out of one or more objects detected by the object detecting unit ().

Object tracking device and object tracking method

A parallel processing starting unitthat partitions an inputted image into tiles each having a predetermined size, and distributes tiles obtained through the partitioning, and N tile encoding units-to-N each of that carries out a prediction difference encoding process on a tile distributed thereto by the parallel processing starting unitto generate a local decoded image are disposed, and each of N tile loop filter units-to-N determines a filter per tile suitable for a filtering process on the local decoded image generated by the corresponding one of the tile encoding units-to-N, and carries out the filtering process on the local decoded image by using the filter.

Video decoding device and video decoding method

An image feature map generating unit () generates, on the basis of feature amounts extracted from a plurality of images successively captured by a camera (), an image feature map which is an estimated distribution of the object likelihood on each of the images. An object detecting unit () detects an object on the basis of the image feature map generated by the image feature map generating unit ().

Object detection device and object detection method

When carrying out an average prediction, an intra predictor carries out a filtering process on target pixels of the intra prediction located at an upper end and a left end of the block, the filtering process using an intermediate prediction value, which is an average value of adjacent pixels of the block, and at least one adjacent pixel of the target pixel. The intra predictor also sets a filter coefficient to &#xbe;, associated with the intermediate prediction value for a target pixel at the left end of the block other than the target pixel at an upper left corner of the block, and sets a filter coefficient to &#xbc;, associated with the adjacent pixel adjacent to the left side of the target pixel at the left end of the block. As a result, prediction errors locally occurring can be reduced, and the image quality can be improved.

Image encoding device, image decoding device, image encoding method, and image decoding method for generating a prediction image

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Tokyo, Japan

Akira Minezawa