588 results about "Image properties" patented technology

Some embodiments provide a novel user interface (UI) tool that is a unified slider control, which includes multiple sliders that slide along a region. The region is a straight line in some embodiments, while it is an angular arc in other embodiments. In some embodiments, the unified slider control is used in a media editing application to allow a user to modify several different properties of the image by moving several different sliders along the region. Each slider is associated with a property of the image. A position of the slider in the region corresponds to a value of the property associated with the slider.

Within a digital rendering device, such as printers, hard copy and soft copy display, and copiers, rendering parameters of a digital image are perfected as part of an image rendering process using face detection within said rendered image to achieve one or more desired image rendering parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more digital-rendering-device rendering parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-rendered image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more rendered image attribute values based upon analysis of the image of the face. One or more digital-rendering-device rendering parameters are then adjusted corresponding to adjusting the image attribute values.

Adaptive up-sample filtering is used to improve compression efficiency of spatially scalable coding systems by more effectively predicting the high-resolution (enhanced-layer) video (or image) from the low-resolution lower-layer video (or image). Different up-sample filters adaptive to local image properties are selectively used for different portions of a low resolution frame to generate a better up-sampled image. Selection between different up-sample filters is determined by a variety of different information available to both the encoder and decoder. In one embodiment, the up-sample filters are selected by the encoder and then explicitly identified to the decoder. Other techniques are then used to minimize the cost of transmitting the up-sample filter identifiers. In alternative embodiments, the encoder and decoder independently make up-sample filters selections.

Within a digital acquisition device, acquisition parameters of a digital image are perfected as part of an image capture process using face detection within said captured image to achieve one or more desired image acquisition parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more camera acquisition parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-captured image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more captured image attribute values based upon analysis of the image of the face. Camera acquisition parameters are then adjusted corresponding to adjusting the image attribute values.

Within a digital acquisition device, acquisition parameters of a digital image are perfected as part of an image capture process using face detection within said captured image to achieve one or more desired image acquisition parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more camera acquisition parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-captured image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more captured image attribute values based upon analysis of the image of the face. Camera acquisition parameters are then adjusted corresponding to adjusting the image attribute values.

Within a digital rendering device, such as printers, hard copy and soft copy display, and copiers, rendering parameters of a digital image are perfected as part of an image rendering process using face detection within said rendered image to achieve one or more desired image rendering parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more digital-rendering-device rendering parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-rendered image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more rendered image attribute values based upon analysis of the image of the face. One or more digital-rendering-device rendering parameters are then adjusted corresponding to adjusting the image attribute values.

Provided are systems, methods and techniques which use local image properties to determine which potential defects in an image should be corrected. In one representative embodiment, potential defects in an image are identified based on edge sharpness, and measures of strength for the different potential defects are calculated. The measures of strength for the potential defects are then evaluated in view of certain local properties of the image, in an immediate vicinity of such potential defects, in order to identify the image defects to be corrected.

Within a digital acquisition device with a built in flash unit, the exposure of an acquired digital image is perfected using face detection in the acquired image is provided. Groups of pixels that correspond to plural images of faces are identified within a digitally acquired image, and corresponding image attributes to the group of pixels are determined. An analysis is performed of the corresponding attributes of the groups of pixels. It is then determined to activate the built-in flash unit based on the analysis. An intensity of the built-in flash unit is determined based on the analysis. Alternatively based on similar analysis, a digital simulation of the fill flash is performed on the image.

Video face detection apparatus in which a test image from a video sequence is compared with an image property model derived from image properties of a region detected to contain a face in a preceding image in the video sequence comprises: selecting a predetermined proportion of pixels in the region detected to contain a face in the preceding image which most closely match the image property model derived in respect of that region, thereby deriving a pixel mask; and comparing pixels in the test image defined by the pixel mask with the image property model, the mask being applied at more than one image position within the test image; a face being detected in the test image at a mask position corresponding to a lowest average difference between the image property model and pixels defined by the mask at that position.

An image capture system with processing and memory system components for storing digital image template files. Each of these files include data describing a digital image template, a number, location, and shape of openings in the template. Each of the openings include image attribute requirements for images that will he placed there. A display screen showing a GUI of the capture system displays digital image templates that a user can select. Captured images are stored in the system and a processor automatically places a captured image into one of the openings in based on the attribute requirements and the actual attributes of the image. The system automatically searches for other stored images that satisfy the attribute requirements for other openings. The completed template with images is stored in an internal memory or removable memory.

Within a digital acquisition device, acquisition parameters of a digital image are perfected as part of an image capture process using face detection within said captured image to achieve one or more desired image acquisition parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more camera acquisition parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-captured image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more captured image attribute values based upon analysis of the image of the face. Camera acquisition parameters are then adjusted corresponding to adjusting the image attribute values.

An object recognition apparatus includes an input section for inputting a first image set including a predetermined number of images including a first image representing a first target object using a first attribute and a second image representing the first target object using a second attribute different from the first attribute, a feature vector calculation section for calculating a first feature vector in a feature space having at least one filter output value as a vector component, the at least one filter output value being obtained by applying at least one predetermined image filter to at least one predetermined position in the predetermined number of images in the first image set, and a judgment section for judging whether or not the first target object is categorized into a specific category based on a relationship between the first feature vector and predetermined discriminant parameters.

Within a digital acquisition device, acquisition parameters of a digital image are perfected as part of an image capture process using face detection within said captured image to achieve one or more desired image acquisition parameters. Default values are determined of one or more image attributes of at least some portion of the digital image. Values of one or more camera acquisition parameters are determined. Groups of pixels are identified that correspond to an image of a face within the digitally-captured image. Corresponding image attributes to the groups of pixels are determined. One or more default image attribute values are compared with one or more captured image attribute values based upon analysis of the image of the face. Camera acquisition parameters are then adjusted corresponding to adjusting the image attribute values.

A printer in which difference in color tone or contrast between a picture displayed on a display and a picture printed by the printer device is suppressed to a minimum. The display is preferably integrated with the printer. The printer includes an image data inputting unit for receiving input image information, e.g., by reading image data from a digital storage medium or from film, and providing digital image data based thereupon. Display outputting circuitry outputs an image signal corresponding to the digital image data to the display. A picture printing unit prints an image corresponding to the digital image data on a recording medium. A characteristics correction unit corrects a display setting prescribing display image properties of the display and a printing characteristics setting prescribing printing picture properties of the printing unit, so that color tone and / or contrast of the displayed and printed pictures are equalized. The printer also preferably includes circuitry for automatically correcting a tilt of a picture, e.g., tilt of an object in a photograph.

A computerized apparatus for automatically generating an artist coordinated image display based upon a user's favorite image or images. A plurality of digital image templates are stored in a computer accessible memory and each have programmed characteristics associated therewith that are designed by an artist. The characteristics of the template can be programmed and stored, including number, location, shape, color, etc, of windows in the digital template. Color and texture characteristics of a body of the template can be selected to resemble, for example, a frame, which will eventually hold the printed images of the template for display. The windows of the template have stored image attribute requirements associated therewith that are designed by the artist are correlated to match image attributes of at least one user selected image that is placed in at least one other of the windows in the template.

The system, method and program are adapted for collecting images of job-site conditions, and plans and specifications. The images are annotated with attributes that relate to the location, time and trades involved and other aspects of the images. Job site images are collected with a camera connected to a portable data collection device. The data collection device is programmed with image attributes for a particular project. Images are also annotated with attributes gathered by sensors, such as GPS position data, moisture sensor information, and direction information. Images with attached attributes are uploaded to a database server and indexed into a relational database. Images can be flagged and determined to be Images for Resolution which triggers automatic notification to the involved parties and follow up to confirm resolution. Authorized participants can access images in near real time, to make funding, insurance and other judgments about the project. Images are archived for safekeeping and long term storage.

Security scanning devices based on electrical tomography, including tomography systems based on the measurement of capacitance (ECT) and electromagnetic tomography (EMT), in combination with knowledge-based image analysis and understanding. Each device includes a sensing head or transducer, sensing electronics, image reconstruction and image analysis microprocessor, a display unit and accompanying software for identifying dangerous materials and items. The security scanning devices are employed for obtaining multiple independent measurements and enable implementation of data fusion to combine the complementary sensitivity of ECT and EMT to different material properties, while providing architecture to implement image knowledge bases, which characterize objects, whose image attributes are acquired from multiple sensors.

Techniques are disclosed for enhancing the quality of a displayed image using a tactile or other texture display. In particular, the disclosed techniques leverage active-texture display technology to enhance the quality of graphics by providing, for example, outlining and / or shading when presenting a given image, so as to create the effect of increased contrast and image quality and / or to reduce observable glare. These effects can be present even at high viewing angles and in environments of high light reflection. To these ends, one or more graphics processes, such as edge-detection and / or shading, may be applied to an image to be displayed. In turn, an actuator element (e.g., microelectromechanical systems, or MEMS, devices) of the tactile display may be manipulated (e.g., in Z-height) to provide fine-grain adjustment of image attributes such as: pixel brightness / intensity; pixel color; edge highlighting; object outlining; effective shading; image contrast; and / or viewing angle.

A computer-implemented system for searching a plurality of images for an image of interest including a database of semantic image representations corresponding to the plurality of images, wherein the semantic image representations link a semantic model of clinical properties, a syntactic model of high level image properties and an image vocabulary of low level image properties, a set of queries associated with the semantic image representations, and a semantic search engine, embodied as computer readable code executed by a processor, for receiving a search query, selecting at least one of the set of queries based on the search query, and searching the plurality of images for the image of interest by comparing the plurality of images against the semantic image representations associated with a selected query.

An image is displayed by determining a relative position and orientation of a display in relation to a viewer's head, and rendering an image based on the relative position and orientation. The viewer's eye movement relative to the rendered image is tracked, with at least one area of interest in the image to the viewer being determined based on the viewer's eye movement, and an imaging property of the at least one area of interest is adjusted.

An information apparatus with access to content is managed by establishing a communication channel between the information apparatus and an output device and receiving over the communication channel an output device profile associated with the output device. The information apparatus obtains one or more image attributes associated with the output device and conforms at least part of the content into one or more output images with the image attributes. The information apparatus generates an output data that includes the output images and is associated with the output device, and delivers the output data to the output device for rendering.

Security scanning devices based on electrical tomography, including tomography systems based on the measurement of capacitance (ECT) and electromagnetic tomography (EMT), in combination with knowledge-based image analysis and understanding. Each device includes a sensing head or transducer, sensing electronics, image reconstruction and image analysis microprocessor, a display unit and accompanying software for identifying dangerous materials and items. The security scanning devices are employed for obtaining multiple independent measurements and enable implementation of data fusion to combine the complementary sensitivity of ECT and EMT to different material properties, while providing architecture to implement image knowledge bases, which characterize objects, whose image attributes are acquired from multiple sensors.

An information apparatus with access to content is managed by establishing a communication channel between the information apparatus and an output device and receiving over the communication channel an output device profile associated with the output device. The information apparatus obtains one or more image attributes associated with the output device and conforms at least part of the content into one or more output images with the image attributes. The information apparatus generates an output data that includes the output images and is associated with the output device, and delivers the output data to the output device for rendering.

A digital imaging device is provided with a touch sensitive display screen 10. The screen 10 displays an image 12 captured by the imaging device. Along one side of the screen is a toolbar 14 upon which is provided a plurality of individual icons 16. The icons 16 represent particular control functions that may be selected by a user. Examples of such control functions represented by the icons 16 include but are not limited to save, send, retrieve or discard image; rotate, reflect, crop, resize or edit image; compare images; process image (e.g. sharpen, blur, emboss, edge detect, pixelise, apply filter or similar); or vary image properties (e.g. brightness, colour balance, colour depth, contrast, convert to greyscale / black and white, effective surface temperature displayed (for infrared images) or similar). The user can select icons by touching the screen either directly or more preferably by tapping the screen with a suitable implement such as. a pen, a stylus or similar. Once a user has selected an icon, further icons may be displayed on the screen to allow the user to operate the selected function as desired.

A video input signal is analyzed to detect image content and image properties, wherein detecting the image content includes automatically deriving image features. A content group is determined for the video input signal based on the detected image content, the content group including predefined image properties. The image properties of the video input signal are adjusted based on a difference between the detected image properties and the predefined image properties.

A medical image display system has a storage device, an input device, a combination determining unit, an information on display-format searching unit, a medical-image display information generating unit, and a display control unit. The storage device configured to store a combination of a plurality of image attributes and information on a display-format with a correspondence therebetween. The input device configured to make a request of a display of image information. The combination determining unit configured to determine a combination of image attributes about the request on the basis of incidental information added to the image information. The information on display-format searching unit configured to search and obtain information on a display-format corresponding to the combination of the image attributes about the request from the storage device by comparing the combination of the image attributes about the request with the combination of the image attributes stored in the storage device. The medical-image display information generating unit configured to generate medical-image display information by arranging the image information made the request in accordance with the information on the display-format obtained by the searching unit. The display control unit configured to make display the medical-image display information.

The invention relates to the field of internet electronic commerce, in particular to a commodity similarity calculation method and a commodity recommending system based on image similarity. The method includes: preprocessing a target image, to be specific, removing image differences caused by changes in light conditions such as brightness and chromatic aberration; processing the target image to detect a foreground frame; converting a community image in the foreground frame into pixel images different in scale by means of bilinear interpolation, and acquiring attribute features, in different dimensions, of the commodity image in the foreground frame under different scales; calculating attribute feature similarities, under different scales, between an attribute feature vector of the commodity image in the foreground frame and an attribute feature vector of a commodity sample image; according to a decision forest model and the attribute feature similarities under different scales, calculating commodity image similarities, under the pixel images of different scales, between the commodity image in the foreground frame and the commodity sample image; using the commodity image as a uniform identifier of a commodity on different commercial platforms. The commodity similarity calculation method and the commodity recommending system have the advantage that reliability of the system is greatly improved.