Zobrazeno 1 - 10
of 383
pro vyhledávání: '"Shekar, B."'
Publikováno v:
International Journal of Medicine & Public Health. Jul-Sep2024, Vol. 14 Issue 3, p129-136. 8p.
Publikováno v:
In Acta Materialia 15 February 2023 245
Autor:
Manivannan, N., Chandar Shekar, B., Matheswaran, P., Mohammed Ibrahim, M., Senthil Kumaran, C.K.
Publikováno v:
In Materials Today: Proceedings 2022 48 Part 2:258-262
Publikováno v:
In Materials Today: Proceedings 2022 48 Part 2:125-128
Autor:
Ranjithkumar, B., Ramalingam, H.B., Kumar, E. Ranjith, Srinivas, Ch., Magesh, G., Rahale, C. Sharmila, El-Metwaly, Nashwa M., Shekar, B. Chandar
Publikováno v:
In Ceramics International 15 May 2021 47(10) Part A:14475-14481
Autor:
Shekar, B. H., Pilar, Bharathi
In this paper, we present a decision level fused local Morphological Pattern Spectrum(PS) and Local Binary Pattern (LBP) approach for an efficient shape representation and classification. This method makes use of Earth Movers Distance(EMD) as the mea
Externí odkaz:
http://arxiv.org/abs/1504.07082
Autor:
Shekar, B. H., L., Smitha M.
In this paper, we propose a novel approach for detecting the text present in videos and scene images based on the Multiscale Weber's Local Descriptor (MWLD). Given an input video, the shots are identified and the key frames are extracted based on the
Externí odkaz:
http://arxiv.org/abs/1504.03810
The text detection and localization is important for video analysis and understanding. The scene text in video contains semantic information and thus can contribute significantly to video retrieval and understanding. However, most of the approaches d
Externí odkaz:
http://arxiv.org/abs/1502.06703
Autor:
Shekar, B. H., L., Smitha M.
The text detection and localization plays a major role in video analysis and understanding. The scene text embedded in video consist of high-level semantics and hence contributes significantly to visual content analysis and retrieval. This paper prop
Externí odkaz:
http://arxiv.org/abs/1502.06219
Autor:
Shekar, B. H., L, Smitha M.
In this paper, we propose a skeleton matching based approach which aids in text localization in scene images. The input image is preprocessed and segmented into blocks using connected component analysis. We obtain the skeleton of the segmented block
Externí odkaz:
http://arxiv.org/abs/1502.03913