Abstract: A detection method for determining chloride ions content in sea sand includes the steps of drying sea sand to a constant weight, adding the dried sea sand to boiling deionized water, fully stirring, and standing and filtering the deionized water to obtain washed sea sand and a washed filtrate. The washed sea sand is then ground into a powder and added into deionized water and fully stirred, the deionized water then filtered to obtain a powder filtrate. Half of the washed filtrate and half of the powder filtrate is then mixed and stirred to prepare a mixed filtrate. The chloride ions content in each of the washed filtrate, the powder filtrate, and the mixed filtrate is then measured by using a silver nitrate titration method. The detection results are then analyzed and corrected to obtain the chloride ions content in the sea sand.

Abstract: Vision-based document segmentation identifies one or more portions of semantic content of a document. The one or more portions are identified by identifying a plurality of visual blocks in the document, and detecting one or more separators between the visual blocks of the plurality of visual blocks. A content structure for the document is constructed based at least in part on the plurality of visual blocks and the one or more separators, and the content structure identifies the one or more portions of semantic content of the document. The content structure obtained using the vision-based document segmentation can optionally be used during document retrieval.

Abstract: Vision-based document segmentation identifies one or more portions of semantic content of a document. The one or more portions are identified by identifying a plurality of visual blocks in the document, and detecting one or more separators between the visual blocks of the plurality of visual blocks. A content structure for the document is constructed based at least in part on the plurality of visual blocks and the one or more separators, and the content structure identifies the one or more portions of semantic content of the document. The content structure obtained using the vision-based document segmentation can optionally be used during document retrieval.

Abstract: A method and system for determining relatedness of images of pages based on link and page layout analysis. A link analysis system determines relatedness between images by first identifying blocks within web pages, and then analyzing the importance of the blocks to web pages, web pages to blocks, and images to blocks. Based on this analysis, the link analysis system determines the degree to which each image is related to each other image. The link analysis system may also use the relatedness of images to generate a ranking of the images. The link analysis system may also generate a vector representation of the images based on their relatedness and apply a clustering algorithm to the vector representations to identify clusters of related images.

Abstract: A method and system for determining relatedness of images of pages based on link and page layout analysis. A link analysis system determines relatedness between images by first identifying blocks within web pages, and then analyzing the importance of the blocks to web pages, web pages to blocks, and images to blocks. Based on this analysis, the link analysis system determines the degree to which each image is related to each other image. The link analysis system may also use the relatedness of images to generate a ranking of the images. The link analysis system may also generate a vector representation of the images based on their relatedness and apply a clustering algorithm to the vector representations to identify clusters of related images.

Abstract: Vision-based document segmentation identifies one or more portions of semantic content of a document. The one or more portions are identified by identifying a plurality of visual blocks in the document, and detecting one or more separators between the visual blocks of the plurality of visual blocks. A content structure for the document is constructed based at least in part on the plurality of visual blocks and the one or more separators, and the content structure identifies the one or more portions of semantic content of the document. The content structure obtained using the vision-based document segmentation can optionally be used during document retrieval.

Abstract: A method and system for determining relatedness of images of pages based on link and page layout analysis. A link analysis system determines relatedness between images by first identifying blocks within web pages, and then analyzing the importance of the blocks to web pages, web pages to blocks, and images to blocks. Based on this analysis, the link analysis system determines the degree to which each image is related to each other image. The link analysis system may also use the relatedness of images to generate a ranking of the images. The link analysis system may also generate a vector representation of the images based on their relatedness and apply a clustering algorithm to the vector representations to identify clusters of related images.

Abstract: Vision-based document segmentation identifies one or more portions of semantic content of a document. The one or more portions are identified by identifying a plurality of visual blocks in the document, and detecting one or more separators between the visual blocks of the plurality of visual blocks. A content structure for the document is constructed based at least in part on the plurality of visual blocks and the one or more separators, and the content structure identifies the one or more portions of semantic content of the document. The content structure obtained using the vision-based document segmentation can optionally be used during document retrieval.