Recent coding-based image classification systems generally adopt a key step of spatial pooling operation, which characterizes the statistics of patch-level local feature codes over the regions of interest (ROI), to form the image-level representation for classification. In this paper, we present a hierarchical ROI dictionary for spatial pooling, to beyond the widely used spatial pyramid in imag...

Octree Splitting We extend the irregular pyramid segmentation scheme to three dimensional (3D) digital space and we call it hyper-irregular pyramid segmentation. Based on this segmentation scheme, a 3D texture image is split into partitions recursively based on octree structure. The testure features are calculated based on 3D gray level spatial dependency measurement. The octree is subsequently...

In this paper, we propose an activity localization method with contextual information of person relationships. Activity localization is a task to determine “who participates to an activity group”, such as detecting “walking in a group” or “talking in a group”. Usage of contextual information has been providing promising results in the previous activity recognition methods, however, the contextu...

Image fusion is an important visualization technique of integrating coherent spatial and temporal information into a compact form. Laplacian fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In this paper, we proposed an algorithmic approach using a Laplacian and Gaussian pyramid to better loc...

Progressive, adaptive and hierarchical modes are desirable image coding features. This paper presents a quadtree-pruning pyramid coding scheme satisfying all these objectives. Pyramid coding is an approach suitable for progressive image tramsmission, where the original image is divided into different levels that correspond to successive approximants of the original one. Starting from the origin...

Recently, high-accuracy RGB-D cameras are commertially available, which are capable of providing high quality three dimension information (color and depth). In this paper, we propose an object recognition method where the techniques of object recognition in 2D are extended to 3D. Recent image classification systems mainly consist of the following three parts: feature extraction using scaleinvar...

Chen, Jau-Yuen, Ph.D., Purdue University, May, 1999. Image Database Management using Similarity Pyramids. Major Professor: Charles A. Bouman. In this work, four major components of image database have been examined: image similarity, search-by-query, browsing environments, and user feedback. We first present a formal framework for designing image similarity and search algorithms. This framework...

A complete and accurate analysis of the complex spatial structure of heterogeneous hydrocarbon reservoirs requires detailed geological models, i.e. fine resolution models. Due to the high computational cost of simulating such models, single resolution up-scaling techniques are commonly used to reduce the volume of the simulated models at the expense of losing the precision. Several multi-scale ...

We introduce a new framework for image classification that extends beyond the window sampling of fixed spatial pyramids to include a comprehensive set of windows densely sampled over location, size and aspect ratio. To effectively deal with this large set of windows, we derive a concise high-level image feature using a two-level extraction method. At the first level, window-based features are c...