Residual frame

About: Residual frame is a research topic. Over the lifetime, 4443 publications have been published within this topic receiving 68784 citations.

Single Reference Frame Multiple Current Macroblocks Scheme for Multiple Reference Frame Motion Estimation in H.264/AVC

Abstract: Due to the multiple reference frame motion estimation (MRF-ME), an H.264/AVC encoder requires ultrahigh memory bandwidth. Conventional multiple reference frames single current macroblock (MRSC) scheme only considers the data reuse within one frame, and requires on-chip memory size and off-chip memory bandwidth in proportional to the reference frame number. In this paper, a single reference frame multiple current macroblocks (SRMC) scheme is presented to further exploit the data reuse at frame level. With frame-level rescheduling of the motion estimation ME procedures in different reference frames, one loaded search window can be utilized by multiple current MBs in different original frames. The demanded on-chip memory size and off-chip memory bandwidth for MRF-ME can thus be reduced to those supporting only one reference frame. Moreover, based on SRMC scheme, an architecture prototype with two-stage mode decision flow is proposed. For HDTV specifications, 62.21 KB (74.8%) of SRAM and 364.3 MB/s (62.6%) of system bandwidth are saved in comparison with the MRSC scheme

Methods for adaptive noise reduction based on global motion estimation

Abstract: An improved temporal noise reduction method and system detects the global motion and adjusts the overall gain of the temporal filtering. Temporal noise reduction is applied to two video frames, wherein one video frame is the current input noisy frame, and the other video frame is a previous filtered frame stored in memory. In this method, noise estimation is first performed to estimate the noise variance/standard deviation in the input video sequence. Then, motion estimation is applied to obtain the motion vectors indicating relative motion between the pixels in the current noisy frame and the corresponding pixels in the previous noise-reduced frame. From such motion vectors, global motion estimation is applied to estimate the camera motion of the video sequence. If reliable global motion is obtained, the overall gain of the temporal filtering is reduced by adjusting the estimated noise level. Motion blur is thus prevented.

Method and apparatus for decoding data in a wireless communication system

Abstract: A communication system (100) is provided that utilizes an apriori knowledge of padding when decoding a received frame and when allocating power to a transmitted frame. In one embodiment, a receiver (210) utilizes an apriori knowledge of padding in decoding a received frame. When the frame is likely to include padding bits, the receiver utilizes its knowledge of the padding bits to properly decode the frame. In another embodiment, a transmitter (202) may take advantage of an apriori knowledge of padding to allocate a first power level to a padded portion of a frame and to allocate a second power level to a non-padded portion of the frame.

Apparatus and method for motion detection of image in digital video recording system using MPEG video compression

Abstract: Provided are apparatus and method for precise motion detection in a digital video recording (DVR) system using a Moving Picture Expert Group (MPEG) video compression technique and a computer-readable recording medium for recording a program that implements the method. The motion detection apparatus performs motion detection by using a motion vector generated in the MPEG video compression process. The motion detection apparatus includes: a motion estimation unit for receiving a reference image frame and a current image frame, and estimating a motion vector (MV=(mx,my)) for a motion of an object; a motion compensation unit for calculating a motion compensated prediction error E MV (i) based on the estimated motion vector (MV=(mx,my)); a frame difference calculation unit for calculating a frame difference between the reference image frame and the current image frame; a motion block accumulation unit for accumulating the number (B motion ) of motion blocks in the current image frame based on the motion compensated prediction error E MV (i) and the frame difference E 0 (i); and a motion frame determination unit for determining whether the current image frame has a motion, based on the accumulated number B motion of motion blocks.

Method and apparatus for estimating motion vector fields by rejecting local outliers

Abstract: An image analysis system generates a motion vector field from first and second images in a sequence of steps. First, random, initial motion vector values are assigned to each pixel in the image frame. Next, an objective function is defined for each motion vector and its corresponding motion vector in the other frame. The differences between the motion vectors of the target pixel value in the current frame and the other frame are minimized by minimizing the objective function values, first based on all neighboring pixel values. Next, the motion vector differences are further minimized by reducing the objective function values by rejecting motion vectors which correspond to the neighboring pixel values for which the value of the difference between the respective objective functions is outside of a threshold range. In one embodiment, pixel values in the first image frame are compared to neighboring pixel values in a second image frame which occurs after the first image and to other neighboring pixel values in a third image frame which occurs before the first image frame. This embodiment substantially eliminates motion vector errors due to both motion discontinuities and occlusion of pixels in the image.