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Fig. 1: System Architecture of MIRROR Abstract A content based image retrieval system, called MPEG-7 Image Retrieval Refinement based On Relevance feedback (MIRROR), is developed for evaluating MPEG-7 visual descriptors and developing new retrieval algorithms. The system core is based on MPEG-7 Experimentation Mode (XM) with web-based user interface for(More)
Recently, an enhanced hexagon-based (EHS) search algorithm was proposed to speedup the original hexagon-based search (HS) using a 6-side-based fast inner search. However, this 6-side-based method is quite irregular by inspecting the distance between the inner search points and the coarse search points that would lower prediction accuracy. In this paper, a(More)
Search point pattern-based fast block motion estimation algorithms provide significant speedup for motion estimation but usually suffer from being easily trapped in local minima. This may lead to low robustness in prediction accuracy particularly for video sequences with complex motions. This problem is especially serious in one-at-a-time search (OTS) and(More)
The MPEG-7 dominant color descriptor (DCD) is an effective, compact, and intuitive representation of salient colors in an image region and is very useful for content-based image retrieval and indexing applications. However, the original quadratic histogram distance measure (QHDM) for MPEG-7 DCD similarity matching does not fit the human perception very(More)
The performance of view synthesis using depth image based rendering (DIBR) highly depends on the accuracy of depth map. Inaccurate boundary alignment between texture image and depth map especially for large depth discontinuities always cause annoying artifacts in disocclusion regions of the synthesized view. Pre-filtering approach and reliability-based(More)
To retrieve appropriate information from large image datasets, Content Based image retrieval (CBIR) is a popular approach. In this paper we use binary clustering simultaneously on target and query images to retrieve color difference. One also measure geometric spreadness of each color, using coordinate information of clusters and used it with color(More)
Center-biased fast motion estimation algorithms, e.g., block-based gradient descent search and diamond search, can perform much better than coarse-to-fine search algorithms, such as 2-D logarithmic search and three-step search. The latter type of algorithms, however, is more suitable for handling large motion content. To combine the advantages of both types(More)
An important problem in color based image retrieval is the lack of efficient way to represent both the color and the spatial structure information with single descriptor. To solve this problem, a new Dominant Color Structure Descriptor (DCSD), is proposed. The descriptor combines the compactness of Dominant Color Descriptor (DCD) and the accuracy of Color(More)
This paper proposes techniques to improve the effectiveness of relevance feedback (RF) based image retrieval using MPEG-7 dominant color descriptor (DCD). The conventional RF query point moving techniques could not be directly applied on DCD due to the difference of the color spaces used in each DCD histogram. In order to tackle this problem, a new merged(More)