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Color Space-Time Interest Points (CSTIP) are among all the interesting low-level features which can be extracted from videos; they provide an efficient characterization of moving objects. The CSTIP are simple and can be used for video stabilization, camera motion estimation, and object tracking. In this paper, we show how the resulting features often reflect interesting events that can be used for a compact representation of video data as well as for tracking. To increase the robustness of CSTIP...
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#1Hitesh Panchal (Gujarat Technological University)H-Index: 1
#2Hitesh Shah (G H Patel College Of Engineering & Technology)H-Index: 4
Videos are tampered by the forgers to modify or remove their content for malicious purpose. Many video authentication algorithms are developed to detect this tampering. At present, very few standard and diversified tampered video dataset is publicly available for reliable verification and authentication of forensic algorithms. In this paper, we propose the development of total 210 videos for Temporal Domain Tampered Video Dataset (TDTVD) using Frame Deletion, Frame Duplication and Frame Insertio...
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#1Shadi AlZu'biH-Index: 7
#2Bilal HawashinH-Index: 5
Last. Thar BakerH-Index: 12
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#1Navid Danapur (IAU: Islamic Azad University)
#2Sakineh Asghari Aghjeh Dizaj (IAU: Islamic Azad University)
Last. Vahid Rostami (IAU: Islamic Azad University)H-Index: 2
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Recently, we have been witnessing a tremendous rise in digital image quantities, which in return calls for an adjustment and management system to fulfill user’s queries in the shortest time with maximum accuracy. In this regard, Content-Based Image Retrieval (CBIR) approaches have gained unprecedented attention. In CBIR systems, image search is based on their actual contents instead of textual annotations. Due to the fact that users do not think of low-level image features such as color, texture...
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#1Nuzhat Naqvi (USTC: University of Science and Technology of China)H-Index: 2
#2Zhongfu Ye (USTC: University of Science and Technology of China)H-Index: 20
For automated visual captioning, existing neural encoder-decoder methods commonly use a simple sequence-to-sequence or an attention-based mechanism. The attention-based models pay attention to specific visual areas or objects; using a single heat map that indicates which portion of the image is most important rather than treating the objects (within the image) equally. These models are usually a mixture of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) architectures. CNN’s...
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#1Shugang Li (SHU: Shanghai University)
#2Hanyu Lu (SHU: Shanghai University)
Last. Ru Wang (SHU: Shanghai University)
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Online comments provide a new and convenient way to understand consumer preference, but these comments for stage shows in theme park are usually incomplete, which can seriously affect the accuracy of existing mining models. In order to overcome the dilemma of missing information, we propose the consumer preferences correlation deep mining model, which precisely mines user preferences from two aspects: comment semantic deep mining and attribute emotion correlation mining. Furthermore, the Kano-IP...
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#1Mohsen A. M. El-Bendary (Helwan University)H-Index: 7
#2H. KasbanH-Index: 3
Last. M. El-Tokhy (Helwan University)H-Index: 5
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The authentication of the Wireless Body Area Networks (WBANs) nodes is a vital factor in its medical applications. This paper, investigates methods of authentication over these networks. Also, an effective unimodal and multimodal biometrics identification approaches based on individual face and voice recognition or combined using different fusion types are presented. The cryptography and non-cryptography-based authentication are discussed in this research work and its suitability with the medica...
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#1Ching-Yu YangH-Index: 1
#2Lian-Ta ChengH-Index: 1
Last. Wen-Fong WangH-Index: 1
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