V-NIP Ceaser: Video Stabilization System

Manzoor, Kamran; Ahmed, Atique U.; Ahmad, Sohail; Manzoor, Umar; Nefti, Samia

doi:10.1007/978-3-642-16318-0_40

Cited by 7 publications

(1 citation statement)

References 7 publications

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“…Images / Videos are major source of content on the internet and the content is increasing rapidly due to the advancement in this area [10,12,13]. Digital Image processing / retrieval is one of the hottest research field and researchers from the last decade have proposed many efficient approaches for image analysis such as [6,7,14,15] and retrieval [9,11,16,17].…”

Section: Introductionmentioning

confidence: 99%

Semantic Image Retrieval: An Ontology Based Approach

Manzoor¹,

Balubaid²,

Zafar³

et al. 2015

ijarai

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Abstract-Images / Videos are major source of content on the internet and the content is increasing rapidly due to the advancement in this area. Image analysis and retrieval is one of the active research field and researchers from the last decade have proposed many efficient approaches for the same. Semantic technologies like ontology offers promising approach to image retrieval as it tries to map the low level image features to high level ontology concepts. In this paper, we have proposed Semantic Image Retrieval: An Ontology based Approach which uses domain specific ontology for image retrieval relevant to the user query. The user can give concept / keyword as text input or can input the image itself. Semantic Image Retrieval is based on hybrid approach and uses shape, color and texture based approaches for classification purpose. Mammals domain is used as a test case and its ontology is developed. The proposed system is trained on Mammals dataset and tested on large number of test cases related to this domain. Experimental results show the efficiency / accuracy of the proposed system and support the implementation of the same.

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Section: Introductionmentioning

confidence: 99%

Semantic Image Retrieval: An Ontology Based Approach

Manzoor¹,

Balubaid²,

Zafar³

et al. 2015

ijarai

Self Cite

View full text Add to dashboard Cite

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Semantic image query based on bimodal hash

Wang

Deng

2017

2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

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Nano-gyroscope assembly using Carbon Nanotube based on nanorobotic manipulation

Yang

Nakajima

Shen

et al. 2011

2011 International Symposium on Micro-NanoMechatronics and Human Science

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A gyroscope based on Coriolis effect and fabricated by Carbon Nanotube (CNT) will be presented. A CNT is vibration at x direction, when there a rotation around z direction, acceleration happens to the y direction.The natural frequency of MWCNT is depending on the inner diameter, outer diameter and length. The CNT was driven by the electrostatic force to its nature frequency. A CNT with a length of 1 !lm was used for emitter and an anode with a bias angle was etched by Focused Ion Beam (FIB) which was set to the opposite to the CNT. An electrode was set near the CNT tip, which was employed to pulling the CNT for mechanical resonances by an AC voltage.

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V-NIP Ceaser: Video Stabilization System

Cited by 7 publications

References 7 publications

Semantic Image Retrieval: An Ontology Based Approach

Semantic Image Retrieval: An Ontology Based Approach

Semantic image query based on bimodal hash

Nano-gyroscope assembly using Carbon Nanotube based on nanorobotic manipulation

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