Abstract: A gesture recognition system using a skin-color based method combined with motion information to achieve real-time segmentation. A Kalman filter is used to track the centroid of the hand. The palm center, palm bottom, as well as the largest distance from the palm center to the contour from extracted hand mask are computed. The computed distance to a threshold is then compared to decide if the current posture is “open” or “closed.” In a preferred embodiment, the transition between the “open” and “closed” posture to decide if the current gesture is in “select” or “grab” state.

Abstract: Reducing artifacts and improving quality for image and video encoding is performed in one pass to preserve natural edge smoothness and sharpness. To reduce artifacts and improve quality, several steps are implemented including spatial variation extraction, determining if a block is flat or texture/edge, classifying the pixels as texture or noise, detecting a dominant edge, checking the spatial variation of neighboring blocks, generating base weights, generating filter coefficients, filtering pixels and adaptive enhancement. A device which utilizes the method of reducing artifacts and improving quality achieves higher quality images and/or video with reduced artifacts.

Abstract: A method for detecting presence of a hand gesture in video frames includes receiving video frames having an original resolution, downscaling the received video frames into video frames having a lower resolution, and detecting a motion corresponding to the predefined hand gesture in the downscaled video frames based on temporal motion information in the downscaled video frames. The method also includes detecting a hand shape corresponding to the predefined hand gesture in a candidate search window within one of the downscaled video frames using a binary classifier. The candidate search window corresponds to a motion region containing the detected motion. The method further includes determining whether the received video frames contain the predefined hand gesture based on the hand shape detection.

Abstract: A method for detecting presence of a hand gesture in video frames includes receiving video frames having an original resolution, downscaling the received video frames into video frames having a lower resolution, and detecting a motion corresponding to the predefined hand gesture in the downscaled video frames based on temporal motion information in the downscaled video frames. The method also includes detecting a hand shape corresponding to the predefined hand gesture in a candidate search window within one of the downscaled video frames using a binary classifier. The candidate search window corresponds to a motion region containing the detected motion. The method further includes determining whether the received video frames contain the predefined hand gesture based on the hand shape detection.

Abstract: The apparatus generates simulated strobe effects in the form of video or still image output in response to receipt of a video stream, and without the need of additional strobe hardware. Videos of a moving target object are categorized into one of multiple categories, from which a strobe generation process is selected. In one mode, the two categories comprise target objects with either small motion or large motions in relation to the frame size. Interoperation between image registration and cloning are utilized to produce simulated strobe motion videos or pictures. Motion segmentation is applied to the foreground object in each image frame, and a foreground mask is updated as each checkpoint is reached along the object trajectory, such as in response to time differences between checkpoints. Potential applications include special features for camcorders, digital cameras, or computer software.

Abstract: An image alignment method includes computationally efficient methods of achieving high-accuracy local motion estimates by using phase correlation. The method also estimates motion reliability that allows a generic robust model fitting algorithm to produce more accurate results while operating much more efficiently. One of three methods are used to determine sub-pel motion estimation with improved accuracy. Each of the sub-pel motion estimation methods uses phase correlation, and are based on fitting computationally efficient 2-D quadratic surfaces to a phase correlation surface. A pre-filter is applied which shapes the phase correlation surface to enable appropriate fitting to the quadratic surface. Bias is also compensated for prior to applying a sub-pel motion estimation method. The method also estimates the reliability of the sub-pel motion estimates determined using phase correlation.

Abstract: An apparatus and method for detecting “Object Portraits” (photographs or images with a stand-out object of interest or a set of stand-out objects of interest) is described. A set of tools has been developed for object of interest detection, including “Sunset-like” scene detection, pseudo-color saturation-based detection and object of interest isolation, block intensity based detection and object of interest isolation. By effectively integrating these tools together, the “Object Portrait” images and “Non-Object Portrait” images are successfully identified. Meaningful object of interest areas are thereby successfully isolated in a low complexity manner without human intervention.

Abstract: Apparatus and methods for reducing ringing artifacts when generating super-resolution pictures and/or videos and for controlling the balance between sharpness and introduction of artifacts. After motion estimation and motion masking for all input frames, the method enters a frame loop within which high frequency information is extracted from the input SR image for each low-resolution input image. Extracted information from each input frame is not directly utilized within the frame loop for changing the SR input as with conventional SR processes, but is used within a means for averaging high frequency information over a desired number of frames (N) and outputting higher resolution versions of low resolution images. Changing (N) alters the tradeoff between ringing suppression and sharpness boosting. Invention can be implemented in a number of imaging apparatus, in particular those having a processor for executing the method steps.

Abstract: A method to estimate segmented motion uses phase correlation to identify local motion candidates and a region-growing algorithm to group small picture units into few distinct regions, each of which has its own motion according to optimal matching and grouping criteria. Phase correlation and region growing are combined which allows sharing of information. Using phase correlation to identify a small number of motion candidates allows the space of possible motions to be narrowed. The region growing uses efficient management of lists of matching criteria to avoid repetitively evaluating matching criteria.

Abstract: A “Bokeh-Aji” image is one in which the region of interest is in focus and the background is out of focus. Detection of “Bokeh-Aji” type images and then isolation to the region of interest area in a low complexity way without any human intervention is beneficial. A set of tools for performing this task include SAD and high pass filtering based in-focus/out-of-focus area separation, in-focus/out-of-focus block distribution based “Bokeh-Aji” shot detection and region of interest isolation. By effectively integrating these tools together, the “Bokeh-Aji” images are successfully identified, and the region of interest area is successfully isolated.

Abstract: A low cost image quality enhancement method to be utilized in an ordinary consumer camera and for post processing of an existing image database is described herein. The quality enhancement is transferred into an adaptive intensity stretching process in the YUV domain. A different enhancement process is designed for a luminance (Y) channel and chrominance (UV) channel. The parameters in the enhancement process are estimated based on the contents of the image. After the stretching-based enhancement, an adaptive unsharp masking process is applied to the luminance data. The quality is significantly improved for the images shot under unfavorable conditions.

Abstract: Content adaptive detection of images having stand-out objects involves block variance-based detection and determining if an object includes a stand-out object. The images with a stand-out object are further processed to isolate an object of interest. The images without a detected stand-out object are further processed with a transition map-based detection method which includes generating a transition map. If an object portrait is determined from the transition map, then the image is further processed to isolate the object of interest.

Abstract: A cathode ray tube (CRT) test system for testing a CRT device is disclosed. The CRT test system comprises a connecting device, a power module, a control module, a first test module, and an illumination module. The connecting device detachably and electrically connects with the CRT device; the power module electrically connects with the connecting device; the control module electrically connects with the connecting device; and the control module comprises test program. After the CRT device receives a control signal transmitted from the test program, the CRT device generates a response signal and transmits the response signal to the first test module. When the first test module detects that the control signal and the response signal fit in with a first test signal status, the illumination module displays a first light sign; when the control signal and the response signal do not fit in with the first test signal status, the illumination module displays a second light sign.

Abstract: Simulating a long exposure-time image from a sequence of short exposure-time images captured at slightly different times. The sequence of images is combined in a temporal integration process to create a long exposure image that simulates the output from a still camera, steadied by a tripod, whose light-sensitive material has been exposed to the same scene from the time of the beginning of the first input image of the sequence to the last image of the input sequence. The method overcomes limitations of hand-held video and image recording devices, allowing the user to easily create effects normally associated with high-end digital still cameras under expert control.

Abstract: Apparatus and method for automatically generating panoramic still photographs from a sequence of images collected during panning. Programming within the camera allows creating the panoramic image output from multiple captured stills and/or video frames without laborious user “stitching”. A sequence of images are captured under control of the camera which span a desired subject area being panned (in any direction) by the user. As the images are being captured, the programming assures that the edges of adjacent images in the sequence sufficiently overlap one another as the desired subject area is being panned, as well as controlling other necessary camera adjustments (e.g., maintaining fixed focus). A set of sequential overlapping image frames is collected and combined to create at least one panoramic still photograph. The user can preferably change settings to control how the images are put together into the panoramic image output.

Abstract: A method and apparatus for generating a super-resolution image are provided. The method may include obtaining a first set of RAW data representing a first image captured at a first resolution and obtaining, from the first set of RAW data, at least one first sample of data associated with the first image. The method may also include obtaining a second set of RAW data representing a second image captured at the first resolution, and performing image registration as a function of the first set of RAW data and the second set of RAW data so as to obtain at least one second sample of data associated with the second image. The first set of RAW data is used as a reference for the second set of RAW data. The method further includes combining the at least one first sample of data with at least one second sample of data to form a collection of samples, and interpolating the collection of samples to form the super-resolution image.

Abstract: A method and apparatus for forming a demosaiced image from a color-filter-array (“CFA”) image is provided. The CFA image comprises a first set of pixels colored according to a first (e.g., a green) color channel, a second set of pixels colored according to a second (e.g., a red) color channel and a third set of pixels colored according to a third (e.g., blue) color channel. The method may include obtaining an orientation map, which includes, for each pixel of the color-filter-array image, an indicator of orientation of an edge bounding such pixel. The method may further include interpolating the first color channel at the second and third sets of pixels as a function of the orientation map so as to form a fourth set of pixels.

Abstract: Implementing color effects in compressed digital video is improved upon by re-using the original video's compression parameters during the re-encoding stage, such that the parameters do not need to be re-estimated by the encoder. This improved method reduces complexity and also improves quality. Quality is improved due to re-use of the compression parameters since accumulated error which is common when re-encoding compressed video is prevented. For digital negatives, the effect is able to be implemented even more efficiently.

Abstract: A method of and system for reducing complexity for transcoding Advanced Video Coding (AVC) videos is described herein. Transcoding from higher resolution signals to lower resolution signals or to signals for a lower resolution display is implemented. The complexity is reduced by decoding the AVC video at reduced horizontal and/or vertical resolution. This results in the reduction of computation cost for decoding and re-sampling the AVC video to lower resolution.

Abstract: Brightness values of image frames are collected and counted to form a brightness distribution. The brightness distribution of the image frames is compared with predetermined brightness distributions. Brightness values of all pixels of successive image frames are adjusted according to a result of the comparison, so as to improve image contrast.