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- Video_Sequences_Saliency_Map abstract "In computer vision, a saliency map is an image that shows each pixel's unique quality. And saliency is an algorithm to compute the unique quality of each pixel and then showing each pixel's unique quality in a new image, this image is saliency map. The goal of a saliency map is simplified and/or change the representation of an image into something that is more meaningful and easier to analyze. Like a pixel has a high grey level or other unique color quality sees in [color image], each pixel's quality will show in the saliency map and in an obvious way. Saliency is a kind of Image segmentation. The result of saliency map is set of contours extracted from the image (see edge detection). Each of the pixels in a region is similar with respect to some characteristic or computed property, such as color, intensity, or texture.There are three major map calculation ways that obey linear computational complexity with respect to a number of image pixels. The first saliency function is using each pixel value minus the rest of this image's single pixel's value and then sum those value together. Saliency sum is the distance of a pixel to the rest of pixels in an input image, and the value of the sum is every pixel's saliency value of a saliency map. And this algorithm is using the grey value of each pixel. The second saliency function is very close to the previous one, and the only difference is the saliency distance calculation way. In the previous function, we use a pixel value minus same frame's pixel value. However, in this function, we get two input images from a video, then use a pixel value in present image minus the rest pixel value in the previous image, then sum all of this value. This value is the saliency distance of the second function. This function is exactly using previous frame's same coordinate pixels as compared pixels.The third saliency function uses the calculation result of the first saliency function. After we get the result of the first function, we use current frame's saliency result minus the previous saliency result to get a new saliency map.".
- Video_Sequences_Saliency_Map wikiPageExternalLink index.html.
- Video_Sequences_Saliency_Map wikiPageExternalLink slic.html.
- Video_Sequences_Saliency_Map wikiPageID "48715673".
- Video_Sequences_Saliency_Map wikiPageLength "8890".
- Video_Sequences_Saliency_Map wikiPageOutDegree "18".
- Video_Sequences_Saliency_Map wikiPageRevisionID "695969627".
- Video_Sequences_Saliency_Map wikiPageWikiLink Category:Computer_vision.
- Video_Sequences_Saliency_Map wikiPageWikiLink Category:Image_processing.
- Video_Sequences_Saliency_Map wikiPageWikiLink Computer_vision.
- Video_Sequences_Saliency_Map wikiPageWikiLink Contour_line.
- Video_Sequences_Saliency_Map wikiPageWikiLink Edge_detection.
- Video_Sequences_Saliency_Map wikiPageWikiLink Grayscale.
- Video_Sequences_Saliency_Map wikiPageWikiLink Image.
- Video_Sequences_Saliency_Map wikiPageWikiLink Image_segmentation.
- Video_Sequences_Saliency_Map wikiPageWikiLink Irradiance.
- Video_Sequences_Saliency_Map wikiPageWikiLink MATLAB.
- Video_Sequences_Saliency_Map wikiPageWikiLink Pixel.
- Video_Sequences_Saliency_Map wikiPageWikiLink Pseudo-.
- Video_Sequences_Saliency_Map wikiPageWikiLink Time_complexity.
- Video_Sequences_Saliency_Map wikiPageWikiLink Category:Segmentation.
- Video_Sequences_Saliency_Map wikiPageWikiLink File:Wiki102.png.
- Video_Sequences_Saliency_Map wikiPageUsesTemplate Template:New_unreviewed_article.
- Video_Sequences_Saliency_Map wikiPageUsesTemplate Template:Reflist.
- Video_Sequences_Saliency_Map subject Category:Computer_vision.
- Video_Sequences_Saliency_Map subject Category:Image_processing.
- Video_Sequences_Saliency_Map subject Category:Segmentation.
- Video_Sequences_Saliency_Map hypernym Image.
- Video_Sequences_Saliency_Map type Work.
- Video_Sequences_Saliency_Map comment "In computer vision, a saliency map is an image that shows each pixel's unique quality. And saliency is an algorithm to compute the unique quality of each pixel and then showing each pixel's unique quality in a new image, this image is saliency map. The goal of a saliency map is simplified and/or change the representation of an image into something that is more meaningful and easier to analyze.".
- Video_Sequences_Saliency_Map label "Video Sequences Saliency Map".
- Video_Sequences_Saliency_Map wasDerivedFrom Video_Sequences_Saliency_Map?oldid=695969627.
- Video_Sequences_Saliency_Map isPrimaryTopicOf Video_Sequences_Saliency_Map.