Results 91 to 100 of about 52,386 (322)
Semantics-Preserving Bag-of-Words Models and Applications
IEEE Transactions on Image Processing, 2010 The Bag-of-Words (BoW) model is a promising image representation technique for image categorization and annotation tasks. One critical limitation of existing BoW models is that much semantic information is lost during the codebook generation process, an important step of BoW.
Lei Wu, Steven C. H. Hoi, Nenghai Yu
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Enhanced bag of words using multilevel k-means for human activity recognition
Egyptian Informatics Journal, 2016 This paper aims to enhance the bag of features in order to improve the accuracy of human activity recognition. In this paper, human activity recognition process consists of four stages: local space time features detection, feature description, bag of ...
Motasem Elshourbagy +2 more
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Dense Bag-of-Temporal-SIFT-Words for Time Series Classification
, 2015 International audienceThe SIFT framework has shown to be effective in the image classification context. In [4], we designed a Bag-of-Words approach based on an adaptation of this framework to time series classification. It relies on two steps: SIFT-based
Bailly, Adeline +9 more
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The Anatomical Record, EarlyView.This work brings new information on the sexual characteristics of the crocodile shark (Pseudocarcharias kamoharai) exploring the pelvic fin musculature, as well as the siphon sac and the musculature and skeleton of the clasper. Our paper is the first to point out clearly the sexual dimorphism related exclusively to the pelvic fin musculature in males ...
Laura F. Mianutti +2 more
wiley +1 more source
Bag-of-words based deep neural network for image retrieval
, 2014 This work targets image retrieval task hold by MSR-Bing Grand Challenge. Image retrieval is considered as a challenge task because of the gap between low-level image representation and high-level textual query representation.
Yang, Kuiyuan +13 more
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Bag of words KAZE (BoWK) with two-step classification for high-resolution remote sensing images [PDF]
, 2019 The bag-of-words (BoW) model has been widely used for scene classification in recent state-of-the-art methods. However, inter-class similarity among scene categories and very high spatial resolution imagery makes its performance limited in the remote ...
Wang, W. (Weiqiang) +11 more
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The Anatomical Record, EarlyView.Abstract Primates show a high degree of locomotor diversity that engenders similar variance in limb bone cross‐sectional geometry and bending strength: leaping primates have stronger hindlimb bones whereas suspensory species have stronger forelimb bones.
Angela M. Mossor +7 more
wiley +1 more source
Scale Coding Bag-of-Words for Action Recognition
2014 22nd International Conference on Pattern Recognition, 2014 Recognizing human actions in still images is a challenging problem in computer vision due to significant amount of scale, illumination and pose variation. Given the bounding box of a person both at training and test time, the task is to classify the action associated with each bounding box in an image. Most state-of-the-art methods use the bag-of-words
Fahad Shahbaz Khan +3 more
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Archaeology in Oceania, EarlyView.ABSTRACT In this paper we report on faunal remains recovered from a legacy archaeological excavation undertaken in the rockshelter entrance of Waribruk (New Guinea II Cave), a GunaiKurnai site located on the west bank of the Snowy River, East Gippsland, southeastern Australia.
Matthew C. McDowell +7 more
wiley +1 more source
Bag-of-Visual-Words for Cattle Identification from Muzzle Print Images
Applied Sciences, 2019 Cattle, buffalo and cow identification plays an influential role in cattle traceability from birth to slaughter, understanding disease trajectories and large-scale cattle ownership management.
Ali Ismail Awad, M. Hassaballah
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