Moving object segmentation in the compressed domain plays an important role in many real-time applications, e.g. video indexing, video surveillance, etc. H.264/AVC is the up-to-date video coding standard, which employ...
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ISBN:
(纸本)300018726X
Moving object segmentation in the compressed domain plays an important role in many real-time applications, e.g. video indexing, video surveillance, etc. H.264/AVC is the up-to-date video coding standard, which employs several new coding tools and provides a different video format. In this paper, a robust spatio-temporal segmentation approach to extract moving objects in the compressed domain for H.264 video stream is proposed. Coarse moving objects are firstly extracted from the motion vector field through the MRF classification process. Spatial segmentation is based on the HT coefficient, which is used to refine the object boundary of temporal segmentation results. Fusion of spatio-temporal segmentation is based on region projection based labeling technique. Further edge refinement is performed to smooth the object boundaries. The performance of the proposed approach is illustrated by simulation carried on several test sequences. Experimental results show that the proposed approach can provide the visually similar results as by using spatial domain process with much less computational complexity.
The information entropy, as a measurement of the average amount of information contained in an informationsystem, is used in the classification of objects and the analysis of informationsystems. The information entr...
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SINS and GPS are widely used. Combining SINS and GPS organically, we can get an reliable integrated navigating system which can overcome the respective defects of the two systems, including signal blockage for GPS and...
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ISBN:
(纸本)0780393953
SINS and GPS are widely used. Combining SINS and GPS organically, we can get an reliable integrated navigating system which can overcome the respective defects of the two systems, including signal blockage for GPS and growth of position errors with time for SINS, and develop their advantages to form a complementary structure at the same time. On the basis of using the SINS/GPS integrated navigation system, we introduce the covariance assignment state estimation algorithm not only to enhance the navigational capability and accuracy, but also enhance the robustness of the navigation system.
We present a robust disaster recovery system model according to the requests of disaster recovery talent of a key e-government project of China. The model strengthens the safe communication ability and guarantees the ...
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In order to make formalization for granular computing,some kinds of formulas are constructed on a universe by a logical method. Every formula expresses a property, and can separate a semantic set which consists of all...
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In order to make formalization for granular computing,some kinds of formulas are constructed on a universe by a logical method. Every formula expresses a property, and can separate a semantic set which consists of all of the objects satisfying the *** a granular space on the universe is produced based on the formulas, and the semantic sets separated by the formulas are taken as a formal definition for granules,and are called abstract ***,it is proved that any specific granule from an extended mathematical system can be formalized into an abstract granule,the conclusions is obtained that specific granules from approximate spaces and informationsystems can also be formalized into abstract granules. Based on a granular space and abstract granules,granular computing is defined,which finally realizes the goal of formalization for granular computing.
In this paper, a quantum reinforcement learning method is proposed for repeated game theory. First, the quantum reinforcement learning algorithm is introduced based on quantum state superposition principle and its sup...
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Active queue management (AQM) is an effective method used in Internet routers to enhance congestion control, and to achieve a trade off between link utilization and delay. The de facto standard, the random early detec...
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Active queue management (AQM) is an effective method used in Internet routers to enhance congestion control, and to achieve a trade off between link utilization and delay. The de facto standard, the random early detection (RED) AQM scheme, and most of its variants use queue length as a congestion indicator to trigger packet dropping. Random early detection (RED) is a widely studied active queue management (AQM) scheme implemented in routers for Internet congestion control. Although certain stability conditions for various RED controllers are discussed, no efficient method for dynamically adapting control gains or result on control gain optimization has been proposed so far. Therefore based on control theory, this paper proposes proportional and integral RED (PI-RED) algorithm, that not only considers the average queue length at the current time slot, but also takes into consideration the past average queue lengths within a round trip time. We provide guidelines for the selection of the feedback gains (the proportional parameter and the integral parameter) for TCP/RED system to stabilize the dynamics, make the congested queue converge at a certain target and hence to improve network performance. Simulations demonstrate that indeed satisfactory performance can be achieved if the control gains are selected based on the guidelines. Based on the stability condition and control gains selection method, extensive simulations with ns2 demonstrate that indeed satisfactory performance can be achieved in terms of robustness, drop probability and stability if the control gains are selected based on the guidelines
Accuracy of information transmission when a signal must be transmitted through a communication channel is of essential importance in design of communication systems. When system resources are limited, such as transmis...
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Accuracy of information transmission when a signal must be transmitted through a communication channel is of essential importance in design of communication systems. When system resources are limited, such as transmission bandwidths assigned to a wireless communication channel, appropriate utility of available resources becomes imperative. This paper investigates fundamental relationships between accuracy of information exchange and communication resources, on a platform of wireless communication channels that involve typical system blocks of data compression, quantization, and stochastic wireless channels. The main complexity relationships developed in this paper provide rigorous trade-off between resource consumptions and information processing errors of each block. When these relationships are integrated, an optimization procedure emerges that allows optimal allocation of resources to each system block, such as compression ratio, quantization levels, and transmission speed, to maximize overall information accuracy. Consequently, the overall errors of the transmitted signal will be minimized at the receiver end.
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