Skip to content

Tag: analysis

Implementing a Key-Value Store – Part 3: Comparative Analysis of the Architectures of Kyoto Cabinet and LevelDB

This is Part 3 of the IKVS series, “Implementing a Key-Value Store”. You can also check the Table of Contents for other parts.

In this article, I will walk through the architectures of Kyoto Cabinet and LevelDB, component by component. The goal, as stated in Part 2 of the IKVS series, is to get insights at how I should create the architecture my own key-value store by analyzing the architectures of existing key-value stores. This article will cover:

1. Intent and methodology of this architecture analysis
2. Overview of the Components of a Key-Value Store
3. Structural and conceptual analysis of Kyoto Cabinet and LevelDB
    3.1 Create a map of the code with Doxygen
    3.2 Overall architecture
    3.3 Interface
    3.4 Parametrization
    3.5 String
    3.6 Error Management
    3.7 Memory Management
    3.8 Data Storage
4. Code review
    4.1 Organization of declarations and definitions
    4.2 Naming
    4.3 Code duplication

Hair Analysis and Detection in Facial Picture

Continuing on my experimentations with face transformation algorithms, I was wondering if it was possible to detect and extract, with a certain accuracy, the hair of a person in a facial picture. I found two useful publications on the topic, Detection and Analysis of Hair (Yacoob and Davis, 2006), and Frequential and color analysis for hair mask segmentation (Rousset and Coulon, 2008). Their approaches are quite similar, and make use of color models, frequency filters and Gaussian kernels.