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检索条件"任意字段=14th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2023"

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Proceedings of icvgip 2023 - 14th indian conference on computer vision, graphics and image processing

Proceedings of ICVGIP 2023 - 14th Indian Conference on Compu...

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14th indian conference on computer vision, graphics and image processing, icvgip 2023

ISBN: (纸本)9798400716256

the proceedings contain 39 papers. the topics discussed include: single view homography estimation for an inclined textured planar surface: overcoming the inverse and ill-posed challenge!;MMAG: mutually motivated attention gates for simultaneous extraction of contextual and spatial information from a monocular image;automatic assessment of communication skill in real-world job interviews: a comparative study using deep learning and domain adaptation;an efficient motor imagery classification framework using sparse brain connectivity and class-consistent dictionary learning from electroencephalogram signals;mandala as computational art: vectorization and beyond;degradation aware multi-scale approach to no reference image quality assessment;dual stage semantic information based generative adversarial network for image super-resolution;knowledge distillation with ensemble calibration;and a novel framework for robust fingerprint representations using deep convolution network with attention mechanism.

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12th indian conference on computer vision, graphics, and image processing, icvgip 2021

12th Indian Conference on Computer Vision, Graphics, and Ima...

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12th indian conference on computer vision, graphics, and image processing, icvgip 2021

ISBN: (纸本)9789811941351

the proceedings contain 17 papers. the special focus in this conference is on computer vision, graphics, and image processing. the topics include: the Ikshana Hypothesis of Human Scene Understanding;worst-Case Adversarial Perturbation and Effect of Feature Normalization on Max-Margin Multi-label Classifiers;Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL);MATIC: Memory-Guided Adaptive Transformer for image Captioning;Semantic Map Injected GAN Training for image-to-image Translation;textGen3D: A Real-Time 3D-Mesh Generation with Intersecting Contours for Text;comparative Analysis of Neural Architecture Search Methods for Classification of Cultural Heritage Sites;heritage Representation of Kashi Vishweshwar Temple at Kalabgoor, Telangana with Augmented Reality Application Using Photogrammetry;augmented Data as an Auxiliary Plug-In Toward Categorization of Crowdsourced Heritage Data;evolution of Bagbazar Street through Visibility Graph Analysis (1746–2020);mapping Archaeological Remains of 14th Century Fort of Jahanpanah Using Geospatial Analysis;spatial Analysis and 3d Mapping Historic Landscapes—Implications of Adopting an Integrated Approach in Simulation and Visualization of Landscapes;HSADML: Hyper-Sphere Angular Deep Metric Based Learning for Brain Tumor Classification;model Compression Based Lightweight Online Signature Verification Framework.

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Evaluation of Graph Layout Methods Based on Visual Perception 16

Evaluation of Graph Layout Methods Based on Visual Perceptio...

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10th indian conference on computer vision, graphics and image processing (icvgip)

作者： Li, Jiafan Liu, Yuhua Wang, Changbo East China Normal Univ Sch Comp Sci & Software Engn Shanghai 200062 Peoples R China

ISBN: (纸本)9781450347532

Node-link diagrams provide an intuitive way to explore networks and have inspired a large number of automated graph layout strategies that optimize aesthetic criteria. However, any particular drawing approach cannot fully satisfy all these criteria simultaneously. So the evaluation methods are designed to explore the advantages and disadvantages of different graph layout methods from these standards. Starting from the point of visual perception, this paper analyzes the node's visual importance based on a user experiment and designs a model to measure the node's visual importance. then evaluate the pros and cons of graph layout methods by comparing the topological importance and visual importance of nodes. A heatmap-based visualization is used to provide visual feedback for the difference between the topological importance and visual importance of nodes. Meantime, a metric is built to quantify the difference precisely. Finally, experiments are done under different scale of data sets to further analyze the characteristics of these graph layout methods.

关键词： graph layout visual perception topological structure evaluation

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Mandala as computational art: Vectorization and beyond 14

Mandala as computational art: Vectorization and beyond

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14th indian conference on computer vision, graphics and image processing, icvgip 2023

作者： Sarkar, Tusita Bhowmick, Partha Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India

ISBN: (纸本)9798400716256

this paper introduces a novel technique of computational art with mandala-an iconic heritage of indian folk art. Its novelty lies in several fundamental steps. the first one is fixing the asymmetries and the imperfections in a hand-drawn piece of art based on the notion of a primitive map. the primitive map is described using a novel concept of geometric salience-a set of well-defined salient points on the frontier polygon of a primitive-characterizing the concavities and convexities present in the primitive. the primitive map is also used for the vectorization of a mandala and its succinct representation as a mandala sector graph (MSG), which eventually results in efficient graph operations on an existing artwork to create a new piece of art. the use of frontier polygons in different steps of the algorithm makes it robust and efficient. Experimental results on various datasets demonstrate the potential and versatility of the proposed technique. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Arts computing

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Single View Homography Estimation for an Inclined Textured Planar Surface: Overcoming the Inverse and Ill-Posed Challenge! 14

Single View Homography Estimation for an Inclined Textured P...

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14th indian conference on computer vision, graphics and image processing, icvgip 2023

作者： Kumari, Pooja Das, Sukhendu Indian Institute of Technology Madras Tamil Nadu Chennai India

ISBN: (纸本)9798400716256

Homography estimation is a crucial step in many computer vision problems involving the planar transformation of an image from one view to another. Generally, from two image views of a scene with a planar patch, one can compute the homography matrix (H) using Direct Linear Transformation (DLT) or its variants. In this study, we work on the inverse scenario to solve an ill-posed problem, where given only a single image (IτP) of an inclined textured planar surface, we attempt to estimate both H and the orthogonal view (IτO) of the planar surface. We propose to solve this problem of homography Estimation using an optimization framework. To the best of our knowledge, there has barely been any work done on this inverse scenario of homography estimation from only a single image view. the research presented in this paper successfully achieves image rectification and homography computation by assuming a perspective transformation on an upright planar patch when viewed by a camera placed exactly in front of it. A cost function with suitable constraints is utilized to refine homography estimation. Experimental results reveal the efficiency of the proposed approach in the case of images of checkerboard and other textured planar surfaces (real-world images with lines and other prominent textures). © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Textures

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MCDNet: Multi Context Dense Network for multi-frame super resolution of satellite images 14

MCDNet: Multi Context Dense Network for multi-frame super re...

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14th indian conference on computer vision, graphics and image processing, icvgip 2023

作者： Chouhan, Avinash Motwani, Harsh Sur, Arijit Chutia, Dibyajyoti Aggarwal, Shiv Prasad North Eastern Space Applications Centre Meghalaya Umiam India Indian Institute of Technology Guwahati Assam Guwahati India

ISBN: (纸本)9798400716256

Satellite image super resolution is an important task that generates high resolution satellite images from low resolution inputs. Multi-frame super resolution utilizes multiple low-resolution images to generate a single high-resolution image. Multi-frame super resolution methods face difficulty in handling spatial and temporal dependencies of pixels. In this work, we proposed a novel architecture named Multi-context Dense Network (MCDNet) to handle spatial and temporal pixel dependencies using multiple approaches of global average pooling, multiple size kernels, and self-attention. the proposed approach improved the PSNR values by 0.29 % and 0.001 % for super resolution of NIR and RED bands on the benchmark PROBA-V dataset. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Pixels

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Reduction of Variance of Observations on Pelvic Structures in CBCT images using Novel Mean-Shift and Mutual Information based image Registration 16

Reduction of Variance of Observations on Pelvic Structures i...

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10th indian conference on computer vision, graphics and image processing (icvgip)

作者： Malladi, Sai Phani Kumar Veduruparthi, Bijju Kranthi Mukherjee, Jayanta Das, Partha Pratim Chakrabarti, Saswat Mallick, Indranil Indian Inst Technol Kharagpur Adv Technol Dev Ctr Kharagpur W Bengal India Indian Inst Technol Kharagpur Dept Comp Sci & Engn Kharagpur W Bengal India Indian Inst Technol Kharagpur GS Sanyal Sch Telecommun Kharagpur W Bengal India Tata Med Ctr Dept Radiat Oncol Kolkata India

ISBN: (纸本)9781450347532

In this paper, Cone-Beam Computed Tomography(CBCT) image data of colorectal cancer patients are considered for registering standard reference locations of bony structures in pelvic region. A solution is provided in this paper to automatically compute and resolve irregularities involved in locating bony structures in the pelvic region. A new algorithm is proposed to automatically locate the lowest 3D coordinates of the Pubic Symphysis (pb) and the Coccyx on a daily basis. the irregularities involved are reduced to minimum by registering CBCT images. the conventional three dimensional mutual information (MI) based registration and a novel mean shift based mutual information techniques are compared. the variations in the position of pelvic region are also compared for unregistered and registered CBCT images. the proposed algorithm, tested on CBCT image data of 25 patients, each taken over a span of 27 days consecutively, provide promising results. the variations in the locations of coccyx, pb, and the distance between them were found to be reduced due to registration of 3D CBCT images.

关键词： Cone-Beam Computed Tomography 3D Registration Mutual Information Pelvic structure

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ViLP: Knowledge Exploration using vision, Language, and Pose Embeddings for Video Action Recognition 14

ViLP: Knowledge Exploration using Vision, Language, and Pose...

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14th indian conference on computer vision, graphics and image processing, icvgip 2023

作者： Chaudhuri, Soumyabrata Bhattacharya, Saumik Indian Institute of Technology Bhubaneswar Odisha Bhubaneswar India Indian Institute of Technology Kharagpur West Bengal Kharagpur India

ISBN: (纸本)9798400716256

Video Action Recognition (VAR) is a challenging task due to its inherent complexities. though different approaches have been explored in the literature, designing a unified framework to recognize a large number of human actions is still a challenging problem. Recently, Multi-Modal Learning (MML) has demonstrated promising results in this domain. In literature, 2D skeleton or pose modality has often been used for this task, either independently or in conjunction with the visual information (RGB modality) present in videos. However, the combination of pose, visual information, and text attributes has not been explored yet, though text and pose attributes independently have been proven to be effective in numerous computer vision tasks. In this paper, we present the first pose augmented vision-language model (VLM) for VAR. Notably, our scheme achieves an accuracy of 92.81% and 73.02% on two popular human video action recognition benchmark datasets, UCF-101 and HMDB-51, respectively, even without any video data pre-training, and an accuracy of 96.11% and 75.75% after kinetics pre-training. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Value engineering

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Improved Discrepancy based Domain Adaptation Network using combined loss functions and Feature transformations 14

Improved Discrepancy based Domain Adaptation Network using c...

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14th indian conference on computer vision, graphics and image processing, icvgip 2023

作者： Ashly, Ajith Ganesha, Srinivas Damaraju Gopakumar, G. Department of Computer Science School of Computing Amrita Vishwa Vidyapeetham Kerala Amritapuri690525 India

ISBN: (纸本)9798400716256

Domain shifts are a common problem in computer vision. As a result, a classifier trained on a source domain cannot perform well on a target domain. Due to this, a source classifier trained to differentiate based on a specific distribution cannot classify well on new data from a different distribution. In this work, we have studied different domain adaptation networks for their complexity and performance and have shown that a simple discrepancy based network can be modified to produce a performance on par with the more complex GAN based networks[8]. this is achieved by picking and selectively combining loss functions and preprocessing transformations. We have shown that the proposed method has produced accuracies 77.62% and 81.67% on popular datasets Office-31 and MNIST/MNIST-M, surpassing the highest reported accuracies by 6.47% and 16.67% compared to seminal papers [16][1] in this field. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Complex networks

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Aggregated Co-attention based Visual Question Answering 14

Aggregated Co-attention based Visual Question Answering

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14th indian conference on computer vision, graphics and image processing, icvgip 2023

作者： Mishra, Aakansha Anand, Ashish Guha, Prithwijit Indian Institute of Technology Guwahati Assam Guwahati India

ISBN: (纸本)9798400716256

Recent developments in the field of Visual Question Answering (VQA) have witnessed promising improvements in performance through contributions in attention based networks. Most such approaches have focused on unidirectional attention that leverage over attention from textual domain (question) on visual space. this work proposes a multistage co-attention framework. Here, co-attention framework performs both image and text attention. the co-attention mechanism is repeated in multiple stages. Attention on different stages may capture some significant and distinct features for learning better contextual information. thus, aggregation of attention is performed to preserve the information from different stages. the proposed architecture with multiple stage network could suffer from vanishing or exploding gradients. To prevent this, loss at each of the different stages is computed. Extensive experiments and analysis are performed for validating the effects of aggregated attention and stage-wise loss. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Co-attention Multimodal Interaction VQA

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