Olympus Corporation

Olympus Optical Company, Ltd.

Dai Nippon Printing Co., Ltd.

Nissan Motor Company Limited

Hiroshi Matsuzaki

Takao Shibasaki

Yukihito Furuhashi

Akito Saito

Akio Kosaka

Takeo Asano

Masahiko Kato

Yamato Kanda

Nobuyuki Watanabe

Tadashi Morokuma

Katsunobu Ito

Rikiya Yamashita

Kazuya Matsumoto

Norihiko Aoki

Shigeki Matsui

Hirofumi Tsuchida

Hiroshi Miyama

Fumiyuki Shiratani

Naoyuki Miyashita

Tsutomu Nakamura

Takahiro Yano

Hideaki Furukawa

Hideki Nagata

Akikazu Yachi

Aya Suzuki

Takakazu Goto

Toyokazu Mizoguchi

Takuya Yamazaki

Tetsuo Nomoto

Yuya Takasugi

Toru Matsuzawa

Teruhisa Komuro

Tadashi Adachi

Kaoru Miyazaki

Satoko Furuki

Tatsuo Asuma

Takahiko Iijima

Takuya Yasutomi

Provided is a multilayer lamination film for laser printing that does not require a special ink that discolors by laser light irradiation, and that makes it possible to obtain a printed line having high visibility by irradiation of laser light having a power sufficiently low to avoid damaging a base film. The multilayer lamination film for laser printing includes at least a base material layer, a printing layer, and a sealant layer. The printing layer is a layer made of an ink composition enabling printing by means of laser light. The ink composition is made of white ink containing at least a titanium oxide and a binder resin, the binder resin containing a crystalline component.

Multilayer lamination film for laser printing and package body and printing body formed thereby, and ink composition for laser printing used therefor

The invention provides a laminate having excellent oxygen barrier properties and excellent flex resistance, and a packaging material comprising the laminate. A laminate having at least a substrate layer, an adhesive layer, a barrier layer and a sealant layer, and a packaging material comprising the laminate, wherein the adhesive layer is a layer having oxygen barrier properties.

Laminate having oxygen barrier properties and packaging material comprising laminate

An image processing device includes a memory and a processor. The processor acquires an image sequence, calculates deformation information about images, performs a feature area detection process, performs an identicalness determination process on an ith feature area and an (i+1)th feature area based on the deformation information about an ith image and an (i+1)th image, and performs an image summarization process. The processor performs the deformation information calculation process that calculates the deformation information based on an ith deformation estimation target area that includes an area of the ith image other than the ith feature area, and an (i+1)th deformation estimation target area that includes an area of the (i+1)th image other than the (i+1)th feature area.

Image processing device, image processing method, and information storage device

Employed is a roller-type continuous vapor-deposited film forming device in which a film-forming section and a preprocessing section provided with a plasma preprocessing device are arranged in series at a distance from each other. With a substrate transported at a high speed, plasma (P) is supplied to the substrate surface side while set to an electrically positive potential by a plasma preprocessing means for supplying the plasma toward the substrate (S) in a space enclosed in a preprocessing roller, and enclosed in a plasma supply means for supplying a plasma-forming gas and in a magnet (), which is a magnetism formation means. An active preprocessed surface is formed on the surface of the substrate (S). An inorganic oxide vapor-deposited film having as a principal component thereof an aluminum oxide containing AL-C covalent bonds is immediately formed at high speed in succession on the preprocessed surface of the substrate to produce a highly adhesive transparent vapor-deposited film.

Transparent vapor-deposited film

An image processing apparatus receives an image signal and generates a display image having an image range associated with a display area of a display unit from an image based on the image signal. The image processing apparatus includes a position-of-interest-calculating-unit, a frame-out-accuracy-calculation-unit, an alteration-variable-decision-unit and an image-alteration-unit. The position-of-interest-calculating-unit calculates a position of interest as a position of an object of interest in the image. The frame-out-accuracy-calculation-unit calculates a frame-out accuracy representing an accuracy that the position of interest deviates from the image range based on the position of interest and the image range. The alteration-variable-decision-unit decides a processing variable of alteration processing performed with respect to the image in conformity with the frame-out accuracy. The image-alteration-unit performs the alteration processing with respect to the image in conformity with the decided processing variable to generate a signal of the display image.

Image processing apparatus, image display apparatus and imaging apparatus having the same, image processing method, and computer-readable medium storing image processing program for displaying an image having an image range associated with a display area

An image summarization device includes a first image summarization section that performs a first image summarization process based on a similarity between a plurality of images to acquire a first summary image sequence, a second image summarization section that performs a second image summarization process based on a target object/scene recognition process on each image among the plurality of images to acquire a second summary image sequence, and an integration processing section that performs an integration process on the first summary image sequence and the second summary image sequence, or performs an integration process on the first image summarization process and the second image summarization process to acquire an output summary image sequence.

Image processing device, information storage device, and image processing method

An image processing device includes a motion-vector detecting unit that detects motion vectors between an image and another image at a plurality of positions on the image, the image being at least a part of a plurality of images making up an image sequence; a pattern categorizing unit that categorizes the images into pattern groups each indicating a predetermined motion pattern, on the basis of the plurality of the motion vectors detected in the image; a group-based image-change detecting unit that detects, in each of the pattern groups, an image change between the images in the pattern group; and a group-based scene-change detecting unit that detects scene change in each of the pattern groups on the basis of the image change between the images in the pattern group.

Scene-change detecting device, computer readable storage medium storing scene-change detection program, and scene-change detecting method

Provided are a scene-transition-image extraction unit that extracts a scene transition image from a sequence of successive images using a predetermined extraction condition, a display unit that displays a near image of the scene transition image, an operation history acquiring unit that acquires image information of an image, for which a predetermined viewing operation is performed, among the near image(s) and history information of the operation, an extraction condition changing unit that changes the extraction condition using the image information and the history information of the operation acquired by the operation history acquiring unit. The scene-transition-image extraction unit re-extracts a scene transition image using the extraction condition changed by the extraction condition changing unit.

Image extracting apparatus, computer program product, and image extracting method

An image processing apparatus for extracting images from a continuous image sequence includes a storage unit that stores image information about images constituting the image sequence; an image reading unit that reads the image information from the storage unit; and an image change amount calculating unit that calculates a predetermined image change amount between at least two images using the image information read by the image reading unit. The apparatus also includes an image change amount information adding unit that adds information about the image change amount calculated by the image change amount calculating unit to a corresponding image; and an image extracting unit that extracts a preset number of images from the image sequence based on the information added to each image by the image change amount information adding unit.

Image processing apparatus and image processing method

An image processing device for processing time-series intraluminal images captured by an imaging device moving in an in-vivo lumen. The image processing device includes a structural area extracting unit that extracts a structural area from the intraluminal image; a corresponding area extracting unit that extracts a corresponding area corresponding to the structural area from the intraluminal image at a second time point different from a first time point at which the structural area is extracted; a lumen deep portion extracting unit that extracts a lumen deep portion, on which a deep portion in the lumen is captured, from the intraluminal image; and a movement amount estimating unit that estimates a movement amount of the imaging device based on positions of the structural area, the corresponding area and the lumen deep portion.

Image processing device, image processing program and image processing method

An electronic camera detects a person's face image from an object image obtained by photographing an object, executes an enlarging process on the detected face image so as to obtain a face image whose face size is suitable, and displays the face image which is enlarged into the suitable size on a display device. When a plurality of people are present on the object image, the enlarged face images are switched by an image operating switch. As a result, the switched face image is displayed on the display device.

Electronic camera, image processing apparatus, image processing method and image processing computer program

An inputting/designating section inputs a multimedia object or designates a multimedia object previously stored in a database. A feature-value-determining section determines the feature value of the input or designated multimedia object. A weighting-factor-determining section determines the determined feature-value weighting factor of the multimedia object. A similarity-retrieval section retrieves the similarity of the multimedia object previously stored in the database by using the determined feature value and the determined feature-value weighting factor. A displaying section displays a multimedia object similar to the multimedia object designated by the inputting/designating section in accordance with the result of similarity retrieval. A similarity-ranking-changing section changes similarity rankings of the displayed multimedia object. A similarity-recalculating section recalculates the feature-value weighting factor of the multimedia object in accordance with the changed similarity ranking and recalculates a similarity by using the feature-value weighting factor.

Multimedia-object-retrieving method and system

An object retrieval method used is characterized as follows. When a user selects objects, the dispersion between the objects is found with respect to each of a plurality of feature quantities. Within a retrieval range of objects, the dispersion between the objects is found with respect to each of a plurality of feature quantities. Both dispersions are compared for each feature quantity. As a result of the comparison, there may be a feature quantity which causes more converged dispersion in the selected objects. This feature quantity is provided with a weight larger than any other feature quantities to weight each feature quantity. An object is retrieved from the retrieval range based on the weighted feature quantities.

Method and apparatus for retrieving similar objects

A three-dimensional model search method includes a step of producing a plurality of two-dimensional images obtained by observing a three-dimensional model as an object of search from points of view different from one another. In a first value extraction step, the respective feature values of the two-dimensional images are extracted from the plurality of two-dimensional images. In a search key input step, a two-dimensional image as a search key is inputted. In a second extraction step, the feature value is extracted from the two-dimensional image as the search key. In a similarity search step, the feature values extracted in the first and second extraction steps are used to carry out similarity search, and a three-dimensional model which is similar to the search key is outputted.

Similarity search of three-dimensional model using two-dimensional image as search key

A feature quantity calculation device to calculate a feature quantity for a 3-D object from 3-D object data contained in the 3-D object includes a 3-D object data input module to input the 3-D object data, a 3-D object data analysis module to analyze the input 3-D object data, a volume data conversion module to convert the analyzed 3-D object data to volume data, and a feature quantity calculation module to calculate a feature quantity from the converted volume data.

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Hachioji, Japan

Hiroshi Matsuzaki