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Various applications require an optimized (and rapid) display of remote sensing imagery. Multisensor and multiband remote sensing data have to be enhanced for optimal band combination and image contr...
We present a study for the evaluation of the efficiency of context features in object-based land-use classification of urban environments using aerial high spatial resolution imagery and LiDAR data....
Urban terrain reconstruction has many applications in areas of civil engineering, urban planning, surveillance and defense research. Therefore the needs of covering ad-hoc demand and performing a cl...
In this paper, two context-based entropy coding schemes for AVS Part-2 video coding standard are presented. One is Context-based 2D Variable Length Coding (C2DVLC) as a low complexity entropy coding s...
This paper presents a new context modeling technique for arithmetic coding of DCT coefficients in video compression. A key feature of the new technique is the inclusion of all previously coded coeffic...
In this paper, we propose a context-based adaptive fast Intra_4x4 prediction mode decision algorithm for H.264/AVC. Firstly, a 3-order Markov random field model is introduced to describe the spatial d...
Context-Based Statistical Relational Learning.
Entropy coding is one of the most important techniques in video codec.Two main criteria to assess an entropy coder are coding efficiency and friendly realization characteristic. In the recent developm...
It is well observed that usually the run-length of successive zero coefficients becomes longer and the magnitude of non-zero coefficients gets smaller while the DCT subband frequency increases. So the...
In Web-based e-learning, an up-to-date catalogue of subject-specific Web resources can effectively offer inexperienced students with an advanced academic portal on the Web. To automatically construct ...

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