This paper focuses on the hardware acceleration of motion compensation techniques suitable for the MPEG video compression. A plethora of representative motion estimation search algorithms and the new perspectives are ...
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ISBN:
(纸本)9780819486325
This paper focuses on the hardware acceleration of motion compensation techniques suitable for the MPEG video compression. A plethora of representative motion estimation search algorithms and the new perspectives are introduced. The methods and designs described here are qualified for medical imaging area where are involved larger images. The structure of the processing systems considered has a good fit for reconfigurable acceleration. The system is based in a platform like FPGA working with the Nios II Microprocessor platform applying C2H acceleration. The paper shows the results in terms of performance and resources needed.
Motion vector field of video motion image sequences has the characteristic of center-biased and spacetime correlation. Aiming to the limitations of the existing fast block-matching motion estimation algorithms, thi...
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Motion vector field of video motion image sequences has the characteristic of center-biased and spacetime correlation. Aiming to the limitations of the existing fast block-matching motion estimation algorithms, this paper proposes a motion estimation algorithm which adaptively chooses different algorithm templates according to movement complexity and module precision. The experimental results show that the new algorithm can significantly improve the search speed of motion estimation, and saves a lot of time of motion estimation, under the premise of ensuring the quality of the reconstructed image.
Motion vector field of video motion image sequences has the characteristic of center-biased and space-time *** to the limitations of the existing fast block-matching motion estimation algorithms,this paper proposes a ...
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Motion vector field of video motion image sequences has the characteristic of center-biased and space-time *** to the limitations of the existing fast block-matching motion estimation algorithms,this paper proposes a motion estimation algorithm which adaptively chooses different algorithm templates according to movement complexity and module *** experimental results show that the new algorithm can significantly improve the search speed of motion estimation,and saves a lot of time of motion estimation,under the premise of ensuring the quality of the reconstructed image.
This paper presents a new motion segmentation method using iterative maximum likelihood framework. The method consists of two steps. In the first step, motion regions are detected and motion vectors are computed for t...
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This paper presents a new motion segmentation method using iterative maximum likelihood framework. The method consists of two steps. In the first step, motion regions are detected and motion vectors are computed for these detected regions. In the second step, a similarity matrix is Computed from the motion vectors and motion segmentation is done using maximum likelihood method. The method has been tested using real world motion sequences and is found to give very low error rate and it also detects the slow moving objects.
Three dimensional (3D) video is attracting a lot of attention as a new multimedia representation method. 3D video is a sequence of 3D models (frames) that consist of varying vertices and connectivity. In conventional ...
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ISBN:
(纸本)9781424404810
Three dimensional (3D) video is attracting a lot of attention as a new multimedia representation method. 3D video is a sequence of 3D models (frames) that consist of varying vertices and connectivity. In conventional 2D video compression algorithms, motion compensation (MC) using block matching algorithm is frequently employed to reduce redundancy between consecutive frames. However, there is no such technology for 3D video so far. Therefore, in this paper, we have developed an extended block matching algorithm (EMBA) to reduce temporal redundancy of geometry information of 3D video by extending the idea of 2D blockmatching to 3D space. In our EBMA, a cubic block is used as a matching unit and, MC is achieved efficiently by matching the mean normal vectors of the sub-blocks, which turned out to be sub-optimal by our experiments. The residual information is further transformed by discrete cosine transform (DCT) and then encoded. The extracted motion vectors are also entropy encoded. As a result of our experiments, compression ratio ranging from 10% to 18% of the original 3D video data has been achieved.
In this paper, a computation-efficient implementation of the flexible triangle (FTS) search algorithm is presented. The FTS is a fast block-matchingalgorithm for motion estimation proposed in previous work. The FTS i...
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ISBN:
(纸本)9781424453771
In this paper, a computation-efficient implementation of the flexible triangle (FTS) search algorithm is presented. The FTS is a fast block-matchingalgorithm for motion estimation proposed in previous work. The FTS is used for block-based motion estimation where it can locate the best matchingblocks between two frames using a search triangle of flexible size and orientation. This flexibility provide the triangle with the high efficiency to locate the best matchingblock in fewer number of search iterations. Further analyses of the FTS performance indicates that more computation efficiency can be achieved in loading the search area and the computing the matching criterion between two macroblocks. Adjacent search areas are overlapped and consequently, the loading mechanism can be modified to load only the non-overlapped sections In addition, loading of search area and other data can start earlier parallel with the algorithm initialization. Finally, the computed SAD results can be stored and then later used instead of re-computing them again. The proposed implementation in this paper reduces the average number of cycles required to finish one macroblock search by around 26% and thus enable the video encoder to support higher frequencies or larger resolutions. The proposed technique was implemented in FPGA as part of the flexible triangle search (FTS) motion estimation algorithm.. The proposed design was implemented, simulated, and tested using VHDL and synthesized using Xilinx ISE for the Xilinx Spartan3 device. The results obtained were compared to an FPGA implementation of the FTS algorithm published in previous work.
Current video coding standards like H.264 vertical bar AVC perform a block-based motion estimation and compensation at the encoder to exploit temporal dependencies between consecutive frames. Current research proved t...
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ISBN:
(纸本)9781424479948
Current video coding standards like H.264 vertical bar AVC perform a block-based motion estimation and compensation at the encoder to exploit temporal dependencies between consecutive frames. Current research proved that motion compensation can also be done profitably at the decoder. In this so-called decoder-side motion estimation (DSME), frames are interpolated at the decoder and inserted into the reference buffer as additional information for prediction. To gather the motion information for compensation, the current approach is based on a block matching algorithm estimating one motion vector for each block of the frame to be interpolated. Therefore, only translational movement is compensated. We evaluate the applicability of a mesh-based motion compensation to DSME which models affine motion in each patch of the mesh and is able to compensate camera zooming or panning, object rotation, or object deformation.
In order to achieve the real-time property for video coding,a fast and adaptive algorithm based on starting search point prediction and early-termination strategy is *** analyzes center-bias property and spatial corre...
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In order to achieve the real-time property for video coding,a fast and adaptive algorithm based on starting search point prediction and early-termination strategy is *** analyzes center-bias property and spatial correlation property of motion vector field,and utilizes the respective characteristics of block based gradient descent search(BBGDS) and adaptive rood pattern search(ARPS) *** proposed algorithm adaptively chooses different searching strategies according to the type of the image,makes full use of the cross image motion vector distribution characteristics and optimizes the traditional ARPS *** experimental results show that the proposed algorithm is about 2.3～9.2 times faster than Diamond Search(DS),1.2～4.0 times than *** algorithm can meet the realtime demand without reducing the image quality.
We propose probabilistic method to determine motion vector (MV) for block matching algorithm (BMA). Proposed method allow us to exploit random distribution of motion vector in successive video frames for selection of ...
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ISBN:
(纸本)9781424449378
We propose probabilistic method to determine motion vector (MV) for block matching algorithm (BMA). Proposed method allow us to exploit random distribution of motion vector in successive video frames for selection of initial search points for first iteration and refinement stage used in further iteration tracks motion vector in continuously changing video sequence. In our proposed algorithm due to adaptive step size it is able to track motion vectors of low motion as well as high motion video. The Simulation result shows that our proposed algorithm Probability based search motion estimation (PBSME) outperforms all sub-optimal motion estimation (ME) algorithms in terms of quality and speed up performance and in many cases PSNR of proposed algorithm is comparable to Full Search with several times faster.
A new system is developed for the diagnosis of diabetic retinopathy. It is developed with the help of slit lamp biomicroscopic retinal images. The results are compared with digital fundus image using image processing ...
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ISBN:
(纸本)9783540928409
A new system is developed for the diagnosis of diabetic retinopathy. It is developed with the help of slit lamp biomicroscopic retinal images. The results are compared with digital fundus image using image processing techniques. The slit lamp, offering users both space savings and cost advantages. By using slit lamp biomicroscopic equipment with an ordinary camera, users can reduce the cost more than 30 times compared to digital fundus camera. The fundus examination was performed on human volunteers with a hand held contact or non-contact lens (90D). The lens providing an extremely wide field of view and better image resolution. The slit lamp equipment is used to examine, treat (with a laser), and photograph (with a camera) of the retina. A digital camera is permitted to capture the image and store this image by using slit lamp, each photograph have small potion of the entire retinal image. The individual slit lamp biomicroscopic fundus images are aligned and blended with block matching algorithm to develop an entire retinal image same as the fundus camera image and detect optic disk, blood vessel ratio from the images. This image can be used for the diagnosis of diabetic retinopathy.
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