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    • 5. 发明授权
    • Method and device of determining a saliency map for an image
    • 确定图像的显着性图的方法和装置
    • US08437543B2
    • 2013-05-07
    • US13199303
    • 2011-08-25
    • Christel ChamaretFabrice UrbanBrice Follet
    • Christel ChamaretFabrice UrbanBrice Follet
    • G06K9/00
    • G06K9/629G06K9/00664G06K9/4628G06K9/4671G06K9/726
    • The invention proposes a method and a device of determining a saliency map for an image.The proposed method uses a processing device for executing the steps of: selecting one of at least two different predetermined weight sets each associated with the predetermined scene category by determining to which of the predetermined scene categories a scene depicted in the image belongs, each predetermined weight sets comprising weights for color dependent subbands, splitting the image into color dependent frequency subbands and orientation subbands by splitting the image into color components and applying wavelet transformation to each color component, determining early feature maps for the subbands by extracting visual features from the wavelet transforms by a center-surround mechanism based on a Difference of Gaussian, weighting the early feature maps using the selected weight set and fusing the weighted feature maps.
    • 本发明提出了一种确定图像的显着图的方法和装置。 所提出的方法使用处理装置来执行以下步骤:通过确定图像中描绘的场景中的哪个预定场景类别属于哪个预定权重,来选择与预定场景类别相关联的至少两个不同的预定权重集中的一个 通过将图像分割成颜色分量并将小波变换应用于每个颜色分量,通过从小波变换中提取视觉特征来确定子带的早期特征图,从而将图像分解为色彩相关的频率子带和取向子带 通过基于高斯差的中心环绕机制,使用所选权重集来加权早期特征图并融合加权特征图。
    • 8. 发明申请
    • Method and device of determining a saliency map for an image
    • 确定图像的显着性图的方法和装置
    • US20130028511A1
    • 2013-01-31
    • US13199303
    • 2011-08-25
    • Christel ChamaretFabrice UrbanBrice Follet
    • Christel ChamaretFabrice UrbanBrice Follet
    • G06K9/62
    • G06K9/629G06K9/00664G06K9/4628G06K9/4671G06K9/726
    • The invention proposes a method and a device of determining a saliency map for an image.The proposed method uses a processing device for executing the steps of: selecting one of at least two different predetermined weight sets each associated with the predetermined scene category by determining to which of the predetermined scene categories a scene depicted in the image belongs, each predetermined weight sets comprising weights for colour dependent subbands, splitting the image into colour dependent frequency subbands and orientation subbands by splitting the image into colour components and applying wavelet transformation to each colour component, determining early feature maps for the subbands by extracting visual features from the wavelet transforms by a center-surround mechanism based on a Difference of Gaussian, weighting the early feature maps using the selected weight set and fusing the weighted feature maps.
    • 本发明提出了一种确定图像的显着图的方法和装置。 所提出的方法使用处理装置来执行以下步骤:通过确定图像中描绘的场景中的哪个预定场景类别属于哪个预定权重,来选择与预定场景类别相关联的至少两个不同的预定权重集中的一个 通过将图像分割成颜色分量并将小波变换应用于每个颜色分量,通过从小波变换中提取视觉特征来确定子带的早期特征图,从而将图像分解为色彩相关的频率子带和取向子带 通过基于高斯差的中心环绕机制,使用所选权重集来加权早期特征图并融合加权特征图。