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Feature coding is a fundamental issue with many vision tasks, such as image classification, image retrieval and image segmentation, etc. There is no doubt that the encoding procedure leads to information loss, due to the existence of quantization error. The residual vector, defined as the difference between the feature and its corresponding visual word, is the chief culprit to be responsible for the...
The locality and sparsity constrained encoding methods have shown the good image classification performance in recent papers. Among these methods, the common strategy is encoding one descriptor into one code by a learned codebook and then applying SPM and Pooling strategy to get the final image representation. However, the ignorance of local spatial context has been a barrier to improve their discriminative...
In this paper, we present a new contour point distortion measurement, called accurate distortion measurement for B-spline-based shape coding (ADMBSC). Different from existing distortion measurements containing approximation, quantization or parameterization, our distortion is defined as the shortest distance from the original B-spline to the associated contour point. This is in line with the subjective-based...
Summary form only given. Existing distortion measurements for the B-spline-based shape coding include ap proximation, quantization, or parameterization process, so they are approximate techniques. They may inaccurately predict the actual distortion value, which motivates us to construct a model that can accurately measure the actual distortion. It was reported that the actual distortion for reconstruction...
Admissible distortion checking algorithm plays a very important role in both rate distortion performance and computational efficiency of B-spline-based operational rate-distortion optimal shape coding framework under the minimum-maximum criterion. Existing distortion measurement using chord-length parameterization (DMCLP) is fast but results in extra bit-rate problem. In contrast, the up to date accurate...
In this paper, we propose an adaptive resource management scheme for end-to-end image transmission over wireless channel. Our goal is to minimize the total system energy consumption according to varying channel conditions and input image characteristics. In our proposed scheme, system resources are allocated among source coder, channel coder, and transmission amplifier. Moreover, unequal transmission...
In this paper, we focus on the problem of shape retrieval. A novel approach, called improved graph transduction, is proposed. As preceding graph transduction method, we regard the shape as a node in a graph and the similarity of shapes is represented by the edge of the graph. Then we learn a new distance measure between the query shape and the testing shapes. The main contribution of our work is to...
Approximation metric is a significant factor for subjective quality improvement of polygonal vertex-based shape codec. Usually this metric is defined by absolute distance measure (ADM). ADM only considers the shortest absolute distance from candidate vertices on the original object contour segment to corresponding approximating line segment and ignores other visual characteristics of the contour segment...
A new encryption strategy proposed in this paper, which based on duple permutation, is designed for transparent transcoding. Firstly the original image is divided into several macro blocks by certain size, and the sequence of macro block rows is reordered. Then, the macro blocks are permuted in rows. Theoretical analysis and experimental results indicate that the strategy proposed in this paper is...
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