Cluster Primal Sketch Feature Planes Extract ( b ) ( a )

Primal-Sketch Feature Extraction from a Log-Polar Images

We present a novel approach 1 for extracting primal sketch features (edges, bars, blobs and ends) from a log-polar image. Symmetry operators and a PCA pre-processing module precede a set of neural networks that learn the feature’s class and contrast. Experiments show the process accurately extracts the desired feature-based image description.

Primal sketch feature extraction from a log-polar image

We present a novel approach 1 for extracting primal sketch features (edges, bars, blobs and ends) from a log-polar image. Symmetry operators and a PCA pre-processing module precede a set of neural networks that learn the feature’s class and contrast. Experiments show the process accurately extracts the desired feature-based image description.

An Architecture for Primal-Sketch Feature Extraction in a Log-Polar Representation

Reading Report: Video Primal Sketch

In this report, we discuss a content-based video coding approach, i.e. video primal sketch. Unlike traditional video coding approaches, video primal sketch seeks to capture different mid-level cues and use them to explain the video data. The algorithm first segmented the video data into two different kinds of regions: explicit region and implicit region, and then model each region by a correspo...

A novel feature extraction using multiple acoustic feature planes for HMM-based speech recognition

This paper describes an attempt to extract multiple peripheral features of a point x(ti,fj) on a timespectrum (TS) pattern by observing n×n neighborhoods of the point, and to incorporate these peripheral features (MPFPs: multiple peripheral feature planes) into the feature extractor of a speech recognition system together with MFCC parameters. Two types of peripheral feature extractor, MPFP-KL ...