搜索结果: 1-11 共查到“工学 Content-based”相关记录11条 . 查询时间(0.14 秒)
Content-Based Tools for Editing Audio Stories
Audio editing storytelling transcript-based editing music browsing music retargeting
2016/5/24
Audio stories are an engaging form of communication that
combine speech and music into compelling narratives. Existing
audio editing tools force story producers to manipulate
speech and music track...
ANALYSIS ON OPTIMAL BANDS FOR RETRIEVAL OF MIXED CANOPY CHLOROPHYLL CONTENT BASED ON REMOTE SENSING
Spectral indices Chlorophyll content Spectral derivative Optimal bands Mixed canopy
2016/1/3
A large number of spectral indices have been developed for estimation of leaf chlorophyll content. However, in most cases these indices have been tested for only one or at most a few related species a...
THE APPLICATION OF CONTENT-BASED INDEXING AND RETRIEVAL OF DIGITAL PICTURES AND RANGE IMAGES TO THE 3D VIRTUAL RECONSTRUCTION OF COMPLEX SITES AND ARCHITECTURES
Content-based indexing/retrieval model range images registration three-dimensional 3D
2015/10/8
The modelling of complex objects and sites involve the acquisition of a large number of texture maps and range images; each one of
them representing a particular viewing angle. These views must be c...
CONTENT-BASED COMPRESSION IN AERIAL IMAGING USING INTER-COLOR CORRELATION
Compression Aerial Content-based
2015/6/2
The high regional correlation between the R, G, B components of color aerial imaging is used as a basis for a new coding technique.
In this work we approximate subordinate colors in smooth segmented...
An Adaptive Content Based Localized Watermarking Algorithm for Remote Sensing Image
Vision Application Algorithms Feature Image Spot
2015/5/27
In this paper, we proposed a new adaptive content-based localized watermarking algorithm for remote sensing images based on DWT,which adaptively embeds corresponding watermarks into the local regions ...
MATCHING CONTENT-BASED SALIENCY REGIONS FOR PARTIAL-DUPLICATE IMAGE RETRIEVAL
Content-based Saliency Region PartialDuplicate Image Retrieval Relative Saliency Ordering Constraint
2013/7/24
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...
基于EMD的土壤有机质含量近红外光谱检测（Near-infrared Spectrum Detection of Soil Organic Matter Content Based on Empirical Mode Decomposition）
土壤有机质 检测 经验模态分解 近红外光谱
2010/12/29
以检测土壤有机质含量为例，探讨经验模态分解在土壤近红外光谱检测中的应用，提出了应用的原理和步骤。用处理后的光谱计算了土壤中的有机质含量，并与九点平滑和小波变换方法的处理结果进行了对比分析。结果表明：与传统的九点平滑处理结果相比，SNR从3 dB左右提高到10 dB左右，原始信号与消噪信号之间的标准差由2.972降到0.901；预测集的决定系数r2由0.9410提高到0.9803, 预测均方根...
基于DSP的谷物含水率在线测量方法（Universal Online Measuring Method of Grain Moisture Content Based on DSP）
数字信号处理 谷物含水率 在线测量
2009/11/3
提出一种基于DSP的谷物含水率测量方法。谷物通过自身重力导入到测试腔内，由MCU和DSP为核心器件构成的测试系统对谷物含水率进行测量、存储，并通过LCD显示。经过测量的谷物，通过螺旋输送器排出，进行下一步测量。系统通过DS18S20温度传感器对谷物温度进行测量，并对温度予以补偿。该方法可使谷物含水率测量误差低于1%，优于常规测量方法。
A Content-Based Fuzzy Image Database Based on The Fuzzy ARTMAP Architecture
Fuzzy Image Database Fuzzy ARTMAP Architecture
2009/7/28
A major design issue in content-based image retrieval system is the selection of the feature set. This study attacks the problem of finding a discriminative feature for each class, which is optimal in...
PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Base and Content-Based Image Retrieval
ImageCLEF 2008 Query Extension Techniques
2010/12/17
In this paper, we present our solutions for the WikipediaMM task at ImageCLEF 2008. The aim of this task is to investigate effective retrieval approaches in the context of a large-scale and heterogene...
PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Base and Content-Based Image Retrieval
PKU at ImageCLEF 2008 Experiments with Query Extension Techniques Text-Base Content-Based Image Retrieval
2013/7/17
In this paper, we present our solutions for the WikipediaMM task at ImageCLEF 2008. The aim of this task is to investigate effective retrieval approaches in the context of a large-scale and heterogene...
