Abstract: An image search device includes: a search unit that retrieves an image similar to a search target image from a registration unit where an image and link information are registered in an associated manner; and a transmission unit that transmits, to a terminal device, the link information associated with the retrieved image. An information processing apparatus controls registration of an image and link information in the registration unit. The information processing apparatus extracts a predetermined area from a registration target image to be registered in the registration unit, transmits an image of the predetermined area to the search unit, and determines whether a similar image including an image similar to the predetermined area is registered in the registration unit based on a search result of the search unit. In the case where determination is made that a similar image is registered in the registration unit, such a fact is notified.

Abstract: A method for face recognition through facial expression normalization includes: fitting an input two-dimensional face image into a three-dimensional face model by using a three-dimensional face database; normalizing the three-dimensional face model into a neutral-expression three-dimensional face model by using a neutral-expression parameter learned from the three-dimensional face database; converting the neutral-expression three-dimensional face model into a neutral-expression two-dimensional face image; and recognizing the neutral-expression two-dimensional face image from a two-dimensional face database. Accordingly, face recognition may be performed with high reliability without a loss of information.

Abstract: A system for matching one or more participants of an event to a digital photograph they appear in. An image processing module analyzes a digital photograph of the event where one more participants appear and identifies one or more barcodes worn by the participants. Each barcode comprises a matrix with a unique value associated with a participant ID. A matrix analysis module reads the identified matrix, calculates its value and matches the participant with said digital photograph the participant appears in.

Abstract: A fingerprint processing system includes an input unit, a calculation unit and an output unit. The input unit is applied to input an original fingerprint image. The calculation unit is applied to decompose the original fingerprint image to a decomposed image by singular value decomposition (SVD) and the decomposed image is transformed into a plurality of sub-band images by discrete wavelet transformation (DWT) with a template. A plurality of compensation weight coefficients of DWT are calculated to compensate the sub-band images to generate a plurality of compensated sub-band images which are rebuilt by an inverse DWT. After rebuilding the compensated sub-band images, the output unit is applied to output an enhanced fingerprint image.

Abstract: According to one embodiment, a person authentication method includes obtaining, from a medium carried by a person who passes through a first position, first information indicating the gender and the age of the person; performing a first authentication operation with respect to a person whose face image is included in a first image obtained by capturing a person passing through the first position; and setting, as the first authentication operation, an authentication operation to be performed using the face image of a person having the gender and the age specified in the first information.

Abstract: An information processing apparatus that controls registration of an image and association information to a registration unit of an image retrieval device that includes the registration unit in which the image and association information are registered in an associated manner, a retrieving unit that retrieves an image being similar to a retrieval subject image from the registration unit, and a transmitting unit that transmits the association information associated with the retrieved image to a terminal device, the information processing apparatus comprising: a selecting unit that selects the association information to be associated with a registration target image to be registered in the registration unit; a setting unit that performs setting to a setting item according to the association information selected by the selecting unit; and a transmitting unit that transmits the registration target image and the association information in which the setting item is set, to the image retrieval device.

Abstract: A rotary encoder system for registering the rotary angle position and/or angular speed of a rotary shaft which extends along an axis of rotation, including at least two optical marks at the rotary shaft, an optical sensor with a pixel matrix having pixel points, an imaging device for imaging each mark in a substantially axial direction on the pixel matrix as a mark image, and an evaluation device for reading and evaluating the pixel matrix in order to determine data in relation to the rotary angle position and/or angular speed. Further, the marks, the imaging device and pixel points are embodied in such a way that the mark images on the pixel matrix have at least the area of a pixel point, and the evaluation device is embodied to establish the location of the centroids of the mark images on the pixel matrix.

Abstract: A video segmentation system can be utilized to automate segmentation of digital video content. Features corresponding to visual, audio, and/or textual content of the video can be extracted from frames of the video. The extracted features of adjacent frames are compared according to a similarity measure to determine boundaries of a first set of shots or video segments distinguished by abrupt transitions. The first set of shots is analyzed according to certain heuristics to recognize a second set of shots distinguished by gradual transitions. Key frames can be extracted from the first and second set of shots, and the key frames can be used by the video segmentation system to group the first and second set of shots by scene. Additional processing can be performed to associate metadata, such as names of actors or titles of songs, with the detected scenes.

Abstract: A fingerprint identification system is provided. The fingerprint identification system includes a sensing panel and a driving circuit. The sensing panel includes a plurality of sensors. Each of the sensors transmits a sensing signal and a reference signal through two signal transmission paths. The driving circuit is coupled to the sensing panel. The driving circuit is configured to drive the sensing panel, and execute a fingerprint identification operation according to the sensing signal and the reference signal. The sensing signal and the reference signal form a differential signal pair. The driving circuit generates a fingerprint identification signal according to the sensing signal and the reference signal. A driving circuit and a fingerprint identification method are also provided.

Abstract: A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.

Abstract: In a case that a pixel shape in a luma domain is not similar to a pixel shape in a chroma domain in an input image, a prediction image that is generated in the reuse of a luma prediction mode is made more accurate. A moving image decoding apparatus 1 includes a gradient deriving unit 1453B that references a chroma gradient definition DEFANG1C, and derives a chroma prediction direction from a prediction mode based on a luma prediction direction.

Abstract: A method including automatically segmenting regions of images of a focal stack into segment regions; and based, at least partially, upon selection of one or more of the segment regions, generating a refocused image which induces different ones of the segment regions from at least two of the images of the focal stack. An apparatus including an image segmentator for a focal stack of images, where the image segmentator is configured to automatically form segment regions for each of the images; and a focal stack fuser configured to fuse the focal stack of images into a refocused image, where the refocused image comprises different ones of the segment regions from at least two of the images of the focal stack.

Abstract: A method for proactively creating an image product includes capturing an image of an object in a first environment by a device, storing a library of personalized products each characterized by a product type, automatically recognizing the object in the image as having a product type associated with the library of personalized products, automatically creating a design for the personalized product of the product type using personalized content, automatically displaying the design of the personalized product of the product type incorporating the selected photo in the first environment on the device, and manufacturing a physical product based on the design of the personalized product.

Abstract: It aims to accurately identify a class concerning classification of an object for each area of an image. A plurality of subsets are created from a plurality of learning images, and an area discriminator for performing area discrimination of the learning images is learned for each subset created. Then, area discrimination of a plurality of learning evaluation images is performed by using the plurality of learned area discriminators. Further, an integrated identifier is learned based on an area discrimination result performed to the plurality of learning evaluation images and scene information previously associated with each of the plurality of learning evaluation images.

Abstract: A selected color component (R, G, B) for each of a plurality of image pixels (32, P) of an image cell (42, C) is encoded to form a corresponding color component (ER, EG, EB) of a corresponding plurality of encoded pixels (40, PE) in one-to-one correspondence with the image pixels (32, P). A bit length of each color component (ER, EG, EB) of an encoded pixel (40, PE) is less than that of a corresponding image pixel (32, P).

Abstract: A method of detecting camera defect includes: obtaining an image by a processing unit, the processing unit having a surface fit module, a subtraction module, and a peak quantification module; determining a first autocorrelation map for a first sub-region in the image; determining, using the surface fit module, a first surface fit for first scene content in the first sub-region; subtracting, using the subtraction module, the first surface fit from the first autocorrelation map for the first sub-region in the image to obtain a first residual map; and quantifying, using the peak quantification module, a first noise in the first residual map.

Abstract: Techniques for processing imaging data contaminated by sensor-dependent noise. An imaging method is described. In the imaging method, imaging data corresponding to an imaged region and acquired by at least first and second sensor elements is obtained. A parameterized model is fitted to the imaging data. The parameterized model includes a first sensor-dependent model of noise generated by the first sensor element in a first portion of the imaging data acquired by the first sensor element, and a second sensor-dependent model of noise generated by a second sensor element in a second portion of the imaging data acquired by the second sensor element. The first sensor-dependent noise model differs, at least in part, from the second sensor-dependent noise model.

Abstract: Methods and systems for detecting at least one chemical species including obtaining a first image from a first electromagnetic radiation detector and obtaining a second image from a second electromagnetic radiation detector. The first image includes a first plurality of pixels and the second image includes a second plurality of pixels, each pixel having an associated intensity value. A first resultant image is generated. The first resultant image includes a plurality of resultant pixels, each pixel having an associated intensity value. One or more regions of interest are determined. The correlation between the first image, the second image, and the first resultant image is determined for the one or more regions of interest using a correlation coefficient algorithm to calculate a first correlation coefficient and a second correlation coefficient. The presence of the chemical species is determined based, at least in part, on the first correlation coefficient and the second correlation coefficient.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire a first media content item. First mage dimensions associated with the first media content item can be determined. A first compression amount to be applied to the first media content item can be determined based on the first image dimensions associated with the first media content item. The first compression amount can be variable based on the first image dimensions associated with the first media content item. The first media content item can be compressed based on the first compression amount.

Abstract: A method includes receiving media data corresponding to a media content item. The method further includes analyzing the media data to determine characteristics of the media content item based on first visual information contained in the media content item. The method further includes analyzing the characteristics of the media content item based on a media popularity model to generate a prediction of whether the media content item is likely to exceed a popularity threshold within a particular period of time. The method further includes determining, at the computing device, a network location at which to store the media content item based on the prediction.