1. 低阶特徵 许多影像检索技术提出利用不同的低阶特徵(low-level features)与相关的相似度比对法进行内涵式检索;然而,利用低阶特徵距 … ir.lib.isu.edu.tw|基于10个网页 2. 特征 1. 一般情况都把attribute作为中层特征(mid-level features):如下图,他介于底层特征(low-level features)和类别标签之间2. ...
hight-level feature:是建立在low level feature之上的,可以用于图像中目标或物体形状的识别和检测,具有更丰富的语义信息。 通常卷积神经网络中都会使用这两种类型的features:卷积神经网络的前几层学习Low level feature, 后几层学习的是high level feature. Quora上面也有这么一段解释: Low-level features are minor d...
The DNN may include convolutional layers, a bottleneck features layer, multiple fully-connected layers and an output layer. The bottleneck features may be used to update connection weights of the convolutional layers, and dropout may be applied to the convolutional layers.Elie Khoury...
Dense features have been shown to outperform sparse matching techniques in many recognition problems, and form the bulk of our work. In this thesis we present strategies to enhance low-level, local features with mid-level, global cues. We devise techniques to construct better features, and use ...
The visual content of an image is analyzed in terms of low-level features extracted from the image. These primarily constitute color, Shape and texture features. For color feature extraction, Color Moments, Color Histogram, Color Coherence Vector, color Correlogram method were implemented. For Shape...
Previous natural image matting algorithms have difficulties with transition regions in the foreground and background, such as tiny and detailed structures like hair. This paper argues that more efficient low-level features can help the network recover details with minor increases in network capacity and...
blocks access to low-level features: An object...Investigates the relative influence of a low-level local feature and a high-level emergent feature on visual search by using curvature arcs (upward curving or downward curving) and facial expression (smiling or frowning) as the respective features...
Focusing at the optimal combination of low-level features (i.e., early fusion), we present a bio-inspired algorithm for feature selection that weights the features based on their appropriateness to represent a resource. Under the same... S Nikolopoulos,E Giannakidou,I Kompatsiaris,... 被引...
Secondly, in the motion regions, we propose to extract two kinds of low-level features to represent the appearance and dynamics for violent behaviors. The proposed low-level features are the Local Histogram of Oriented Gradient (LHOG) descriptor extracted from RGB images and the Local Histogram ...
In spite of the progress made up to now, it is still not very precise how the low-level features of movies shape the resulting affective state of the viewer. In this work we evaluate different visual features and investigate how they impact the emotional evaluation under two paradigms: the ...