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This paper describes an effective motion estimation algorithm for panoramic video. According to the characteristics of the block motion in panoramic video, the proposed algorithm extends the reference frames and constructs search lines for the line search. With the constructed search lines, the line search estimates the motion of the corresponding macro block. It starts at the block matched by the...
Motion estimation is the vital step in video compression and several algorithms have been proposed for its acceleration. In this paper we present an innovative two pass motion estimation technique with reduced search to minimize the computational load. We adopt the block based motion estimator, which first finds the matching block using the trace calculation and only on match, it calculates the mean...
As the state-of-the-art of the modern video compression standard, H.264 shows a high coding performance. Introducing the motion estimation method, it has ten times computation comparing to MPEG2. The high computational requirement makes it hard to implement on portable devices. According to the human visual system (HVS) research, human eyes can only focus on one area in a frame, which is called region-of-interest...
Shot boundary detection is the first step of video retrieval. In this paper we propose a new approach to detecting shot boundary based on motion estimation for uncompressed video, we firstly give an overview of existing algorithms, then we explain our algorithm in detail, our method is used in fire fighting command and record system for fire fighting agency. This algorithm proposes the concept of...
Data communication between mobile security robots over the network is an important component in a surveillance system. Because of limited bandwidth, transmission delay, and package loss, real-time video transmission may pose some challenges. In this paper, three steps of image data reduction before transmission are proposed and discussed in detail. The first one is temporal sampling, which selects...
In this paper, a novel approach is proposed to estimate camera motion and segment moving objects from compressed video streams, aiming to detect semantic events in video clips. Simultaneously using the motion vectors and DC components of MPEG macroblocks (MB), the camera motion type and motion parameters of each frame are estimated with simplified models. Then the segmentation of moving objects is...
Video data compression uses interframe coding to remove temporal redundancy and motion compensation plays a vital role in it. Generally, the block matching techniques are used for motion compensation and the matching criterions used are mean absolute difference (MAD) and mean square error (MSE). MSE has more computation than MAD and therefore, MAD is the most preferred block matching criterion for...
In video compression, motion compensation techniques are used for removal of temporal redundancy and it is the block based matching concept which is most popular among them. In such matching techniques, Mean Absolute Difference (MAD) is widely accepted as the matching criterion because of its simplicity and low computation. Since MAD considers only average error value in a block for matching purposes...
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