Search results for " Segmentation"

showing 2 items of 462 documents

Automatic dynamic texture segmentation using local descriptors and optical flow

2012

A dynamic texture (DT) is an extension of the texture to the temporal domain. How to segment a DT is a challenging problem. In this paper, we address the problem of segmenting a DT into disjoint regions. A DT might be different from its spatial mode (i.e., appearance) and/or temporal mode (i.e., motion field). To this end, we develop a framework based on the appearance and motion modes. For the appearance mode, we use a new local spatial texture descriptor to describe the spatial mode of the DT; for the motion mode, we use the optical flow and the local temporal texture descriptor to represent the temporal variations of the DT. In addition, for the optical flow, we use the histogram of orie…

ta113business.industrySegmentation-based object categorizationComputer scienceTexture DescriptorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowScale-space segmentationPattern recognitionImage segmentationComputer Graphics and Computer-Aided DesignImage textureMotion fieldRegion growingComputer Science::Computer Vision and Pattern RecognitionHistogramComputer visionSegmentationArtificial intelligencebusinessSoftwareIEEE Transactions on Image Processing
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Words, clauses, sentences, and T-units in learner language: Precise and objective units of measure?

2020

In research on learner language complexity, accuracy and fluency (CAF), syntactic complexity is often studied with quantitative measures based on words, clauses, sentences, and T-units. The findings have been mixed, but segmenting learner language into these units of measure has seldom been problematised, even if the need for accurate coding is well known. The present study explores words, clauses, sentences, and T-units as production units in written learner language using a corpus of 352 L2 Finnish texts (28,813 words). The results illustrate how written learner language can be hard to fit into the production unit categories, which are essential for the most frequently used quantitative m…

toinen kieliComputer sciencelearner finnishcomputer.software_genreUnits of measurementFluencyMarket segmentationcommon reference levelsProduction unitSegmentationLanguage proficiencylcsh:P118-118.7lcsh:LC8-6691kieltenopetuslcsh:Language acquisitionopiskelijatLanguage complexitylcsh:Special aspects of educationbusiness.industrysegmentationlearner writingkompleksisuussegmentointiArtificial intelligencelearner writing [learner Finnish]businesscomplexitycomputerNatural language processingkirjoittaminenCoding (social sciences)Journal of the European Second Language Association
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