5628 results about "Low resolution" patented technology

An Integrated Routing/Mapping Information System (IRMIS) links desktop personal computer cartographic applications to one or more handheld organizer, personal digital assistant (PDA) or "palmtop" devices. Such devices may be optionally equipped with, or connected to, portable Global Positioning System (GPS) or equivalent position sensing device. Desktop application facilitates user selection of areas, starts, stops, destinations, maps and/or point and/or route information. It optionally includes supplemental online information, preferably for transfer to the PDA or equivalent device. Users' options include route information, area, and route maps. Maps and related route information are configured with differential detail and levels of magnitude. Used in the field, in conjunction with GPS receiver, the PDA device is configured to display directions, text and map formats, the user's current position, heading, speed, elevation, and so forth. Audible signals identifying the next turn along the user's planned route are also provided. The user can pan across maps and zoom between two or more map scales, levels of detail, or magnitudes. The IRMIS also provides for "automatic zooming," e.g., to show greater detail or closer detail as the user approaches a destination, or to larger scale and lower resolution to show the user's overall planned route between points of interest. The IRMIS also enables the user to mark or record specific locations and/or log actual travel routes, using GPS position information. These annotated location marks and/or "breadcrumb" or GPS log data can be saved, uploaded, displayed, or otherwise processed on the user's desktop geographic information or cartographic system. The IRMIS application and data may be distributed online and/or in tangible media in limited and advanced manipulation formats.

A method of producing a digital image with improved resolution during digital zooming, including simultaneously capturing a first low resolution digital image of a scene and a second higher resolution digital image of a portion of substantially the same scene. A composite image is then formed by combining the first low-resolution digital image and a corresponding portion of the high resolution digital image. Digital zooming of the composite image produces a zoomed image with high resolution throughout the zoom range and improved image quality.

A content delivery system according to various embodiments of the invention substantially concurrently streams a plurality of live videos to a client computing device over a network, allowing the user to view two or more live videos at the same time. In a particular embodiment, the system is configured to display a high resolution version of a live video feed in a “primary” pane of a main display dialog window and one or more additional live video feeds in low resolution in “preview” panes of the main display dialog window substantially concurrently, wherein the additional live video feeds are different from the first video feed and each other. In this particular embodiment, the system allows the user to preview the additional videos while the first video is playing. In addition, according to one embodiment, the live video feeds may be from independent sources.

Array cameras in accordance with embodiments of the invention perform super resolution processing using images of a scene that contain aliasing. In several embodiments, the depth of pixels is determined by fusing portions of a higher resolution image at a number of hypothesized depths and determining the depth at which the portion of the higher resolution image best matches the scene captured in the lower resolution images used to fuse the higher resolution image.

In one embodiment, a method of providing a recipient of a low-resolution digital image a way to automatically obtain a high-resolution rendering of the digital image is disclosed. In one embodiment, in a distributed system having a first node coupled to a second node, a method of outputting at the first node a composited digital image at a selected resolution is disclosed. At the second node, the composited digital image at a first resolution is generated and the composited digital image is then converted to a second resolution. The converted composited digital image is then transferred to the first node where the selected resolution is determined. If the selected resolution is the first resolution then the composited digital image is fetched and the composited digital image is then output at the first resolution. If, however, it is determined that the selected resolution is the second resolution, then the composited digital image is output at the at the second resolution.

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.

An image input apparatus which reconfigures a single reconfigured image from a plurality of low-resolution, object reduced images formed in a specified region on the light detecting element by the micro-lens array, wherein a high-resolution, single reconfigured image can be obtained even if the distance between the subject and the micro-lens array is long (infinitely long, for example), and further a reconfigured image can be realized in colors. The image input apparatus is characterized in that the relative distance between a micro-lens (1a) and light detecting cells (3a) in a specified region, where object reduced images corresponding to the micro-lens (1a) are formed, is different in each micro-lenses (1a). In addition, the light detecting cells (3a) are divided into a plurality of regions, and color filters (primary color filter, or complementary color filter, for example) are disposed in each of the divided regions.

The invention discloses a human face super-resolution reconstruction method based on a generative adversarial network and sub-pixel convolution, and the method comprises the steps: A, carrying out the preprocessing through a normally used public human face data set, and making a low-resolution human face image and a corresponding high-resolution human face image training set; B, constructing the generative adversarial network for training, adding a sub-pixel convolution to the generative adversarial network to achieve the generation of a super-resolution image and introduce a weighted type loss function comprising feature loss; C, sequentially inputting a training set obtained at step A into a generative adversarial network model for modeling training, adjusting the parameters, and achieving the convergence; D, carrying out the preprocessing of a to-be-processed low-resolution human face image, inputting the image into the generative adversarial network model, and obtaining a high-resolution image after super-resolution reconstruction. The method can achieve the generation of a corresponding high-resolution image which is clearer in human face contour, is more specific in detail and is invariable in features. The method improves the human face recognition accuracy, and is better in human face super-resolution reconstruction effect.

A method of tracking a face in a reference image stream using a digital image acquisition device includes acquiring a full resolution main image and an image stream of relatively low resolution reference images each including one or more face regions. One or more face regions are identified within two or more of the reference images. A relative movement is determined between the two or more reference images. A size and location are determined of the one or more face regions within each of the two or more reference images. Concentrated face detection is applied to at least a portion of the full resolution main image in a predicted location for candidate face regions having a predicted size as a function of the determined relative movement and the size and location of the one or more face regions within the reference images, to provide a set of candidate face regions for the main image.

Objects of interest are detected and identified using multiple cameras having varying resolution and imaging parameters. An object is first located using a low resolution camera. A second camera (or lens) is then directed at the object's location using a steerable mirror assembly to capture a high-resolution image at a location where the object is thought to be based on image acquired by the wide-angle camera. Various image processing algorithms may be applied to confirm the presence of the object in the telephoto image. If an object is detected and the image is of sufficiently high quality, detailed facial, alpha-numeric, or other pattern recognition techniques may be applied to the image.

An audio path is constructed to include a multi-bit sigma-delta converter for converting an N-bit digital input to an n-bit output representing an over-sampled, lower resolution n-bit version of the N-bit digital input; a formatter for converting the n-bit output to an m signal output (e.g., as a thermometer code, a SDM format or a PWM format); an m-by-m switching matric for receiving the m output signals and for reordering the m output signals, m class-D drivers individual ones of which are driven by one of the reordered m output signals for driving one of m speakers; and a dynamic element matching (DEM) block coupled to the switching matric for controlling the reordering of the m output signals driving the m class-D drivers for spreading the distortion due at least to driver-speaker pair mismatch to wide band noise. The DEM may operate to generate white noise, or it may generate shaped (colored) noise.

System for diagnosis, medical decision support, and healthcare information management that performs analysis of serial health data, adapts to the individual data, and represents dynamics of the most significant parameters (indicators), using at least two scales. The system uses the first-scale (low-resolution) analysis of a snapshot measurement of at least one indicator (primary element) such as heart rate or blood pressure and uses a second-scale (higher-resolution) analysis to determine serial changes in each of the said primary elements. The system optimizes information flow, usage of medical knowledge, and improves accuracy of analysis of serial changes, and adaptability to each individual's data. The information can be distributed in parallel to separate databases at different locations.

A technique of reconstructing a high resolution image from at least one image sequence of temporally related high and low resolution image frames wherein each of said high resolution image frames includes a low spatial frequency component and a high spatial frequency component is described. The high-resolution image reconstruction technique uses spatial interpolation to generate a low spatial frequency component from a low-resolution image frame of the image sequence. The technique is adapted to generate a high spatial frequency component from at least one high resolution image frame of the image sequence which is closely related to the low resolution image frame, and to remap the high spatial frequency component to a motion-compensated high spatial frequency component estimate of the low resolution image frame. The motion-compensated high spatial frequency component estimate is added to the generated low spatial frequency component to form a reconstructed high-resolution image of the low-resolution image frame.

An optical code reading system having an auto-exposure system for use with a variable resolution imaging sensor in which very low resolution images are used to determine exposure parameters is presented. The very low resolution images can be transferred much faster than high resolution images which results in a very fast auto-exposure system. The optical code reading system further includes an optical zoom system for zooming in and out of a target without the use of any moveable components. The optical zoom system makes use of a binning and/or subsampling feature of the imaging sensor for zooming in and out of the target. High-speed decoding methodologies are also presented for the optical code reading system. One decoding methodology utilizes low resolution images for performing high-speed decoding. Other methodologies utilize low resolution images and higher resolution images, if the optical code imaged by the low resolution images is not decoded successfully.

This invention realizes an editing system and control method thereof capable of significantly improving working efficiency of editing work. A proxy editing terminal device creates an EDL with low-resolution video/audio data, resulting in reducing time to create the EDL. Further, the low-resolution video/audio data and high-resolution video/audio data having the same contents and different resolutions are previously stored, so that the creation of a final edit list with the high-resolution video/audio data based on the EDL can be started in a short time after the EDL is created with the low-resolution video/audio data. Thus working efficiency of the editing work can be significantly reduced with reducing time to create the EDL and the final edit list.

A cellular phone contains a scanner feature for scanning documents directly into a cell phone. The cell phone may scan a small document (e.g., a business card) or a much larger: document (e.g., multiple pages of standard 8½″×11″ paper.). Business card scanning can include a feature to automatically enter data into a contact list, which is then synchronized with a host PC. The particular scanning and stitching methods disclosed in a cell phone are capable of scanning objects that are virtually limitless in size and/or shape, making use of even a low resolution camera integrated into many currently available cell phones. In first embodiments, the disclosed scanner makes use of an external scanner interfaced directly to a digital port of a cell phone, and in second embodiments, the scanner uses a low resolution internal camera to capture images of matrixed portions of a larger object or document.