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检索条件"任意字段=15th Indian Conference on Computer Vision Graphics and Image Processing"

共 1004 条记录，以下是61-70 订阅

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Object Boundary Detection using Rough Set theory

Object Boundary Detection using Rough Set Theory

引用

4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Phophalia, Ashish Mitra, Suman K. Rajwade, Ajit DA IICT Gandhinagar 382007 India Indian Inst Technol Bombay 400076 Maharashtra India

ISBN: (纸本)9781479915880

A Rough Set theory based closed form object boundary detection method has been suggested in this paper. Most of the edge detection methods fail in getting closed boundary of objects of any shape present in the image. Active contour based methods are available to get such object boundaries. the Multiphase Chan-Vese Active Contour Method is one of the most popular of such techniques. However, it is constrained with number of objects present in the image. the granular processing using Rough Set method overcomes this constraint and provides a closed curve around the boundary of the objects. this information can further be utilized in selection of similar patches for various image processing problems such as image Denoising, image Super-resolution, image Segmentation etc. the proposed boundary detection method has been tested in presence of noise also. the experimental results have shown on synthetic image as well as on MRI of human brain. the performance of proposed method is found to be encouraging.

关键词： Active Contour Method Object Boundary Detection Problem Rough Set theory

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Stable Biped Locomotion using Improved Proportional Derivative Controller

Stable Biped Locomotion using Improved Proportional Derivati...

引用

4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Shrivastava, Ankit Shrivastava, Prateek Das, Sukhendu Samanta, Suranjana MTS Vmware Bangalore Karnataka India Indian Inst Technol VP Lab Madras 600036 Tamil Nadu India

ISBN: (纸本)9781479915880

In this paper, we propose a modified version of the standard proportional-derivative (PD) controller for biped locomotion. Our improvements stabilize the biped for high gain PD controllers. the main idea of our approach involves applying corrective component to the existing framework, so that it prevents overshooting at high gains to stabilize the biped. We use pose control graphs to represent various gaits for the biped. We demonstrate with our improvements that the biped controller is stable while walking on irregular terrains. We also demonstrate that our formulation provides additional stability to the biped under minor impediments while in motion.

关键词： Biped locomotion high gain Proportional derivative Controllers overshooting Gait stalls(animals)

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A computer vision Framework on Biomechanical Analysis of Jump Landings 24

A Computer Vision Framework on Biomechanical Analysis of Jum...

引用

15th indian conference on computer vision graphics and image processing

作者： Sharma, Srishti U. Divakaran, Srikrishnan Kaya, Tolga Raval, Mehul S. Ahmedabad Univ Sch Engn & Appl Sci Amdavad Gujarat India Krea Univ Sri City India Sacred Heart Univ Fairfield CT USA Ahmedabad Univ Amdavad India

ISBN: (纸本)9798400710759

High-intensity activities in sports like basketball can result in fatigue without proper recovery. this study introduces a collaborative framework that leverages computer vision (CV) and Machine Learning for evaluating jump landings and predicting athletic readiness by modelling Countermovement Jumps (CMJs) biomechanical aspects. Seventeen female collegiate basketball athletes of Sacred Heart University (SHU), CT, USA, participated in weekly CMJs over a 26-week season. through CV-driven semantic analysis of videos, the framework identifies the crucial initial contact and maximum flexion point during jump landings and extracts kinetic and kinematic features of the lower extremities. Next, an inferential analysis is conducted to understand the relationship between these features and the CMJ-driven reactive strength indexmodified (RSImod) score, which measures fatigue and athletic readiness. An XGBoost regressor, trained on the past week's data, then predicted the RSImod score for the following week, which resulted in an MSE of 0.020 and an R-2 of 0.892. Using SHapley Additive exPlanations (SHAP), the framework offers interpretable feedback, aiding coaches in creating personalised training programs and optimising athletic performance while minimising injury risks.

关键词： Athletes basketball computer vision countermovement jumps sports analytics

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Context Based image Retrieval Framework for Smartphones 5

Context Based Image Retrieval Framework for Smartphones

引用

5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Singh, Shirish Kumar, Praveen LNM Inst Informat Technol Dept Comp Sci & Engn Jaipur Rajasthan India

ISBN: (纸本)9781467385640

the spread of global smartphone market in the past decade has resulted in exponential growth of unstructured data, particularly in the form of multimedia, in the domain of social networking. Consequently, it has made data retrieval cumbersome, specially for the users. this has also posed as a major challenge in the development of new algorithms and technologies. this paper presents a context based search technique for personalized image retrieval, based on Logical Item-set Mining on image Hash-Tags given by the users. the tests were performed on Instagram image datasets of two different users, collected through a crawler and show promising results.

关键词： Smartphones

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ViDAS: vision-based Danger Assessment and Scoring 24

ViDAS: Vision-based Danger Assessment and Scoring

引用

15th indian conference on computer vision graphics and image processing

作者： Gupta, Pranav Krishnan, Advith Nanda, Naman Eswar, Ananth Agrawal, Deeksha Gohil, Pratham Goel, Pratyush SRM Inst Sci & Technol Chennai Tamil Nadu India VIT Chennai Tamil Nadu India

ISBN: (纸本)9798400710759

We present a novel dataset aimed at advancing danger analysis and assessment by addressing the challenge of quantifying danger in video content and identifying how human-like a Large Language Model (LLM) evaluator is for the same. this is achieved by compiling a collection of 100 YouTube videos featuring various events. Each video is annotated by human participants who provided danger ratings on a scale from 0 (no danger to humans) to 10 (life-threatening), with precise timestamps indicating moments of heightened danger. Additionally, we leverage LLMs to independently assess the danger levels in these videos using video summaries. We introduce Mean Squared Error (MSE) scores for multimodal meta-evaluation of the alignment between human and LLM danger assessments. Our dataset not only contributes a new resource for danger assessment in video content but also demonstrates the potential of LLMs in achieving human-like evaluations.

关键词： Danger Detection Danger Assessment Multimodal Systems Temporal Action Localization LLM-based Evaluation

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A Robust Watermarking Scheme Against Re-compression Attack for H.265/HEVC 5

A Robust Watermarking Scheme Against Re-compression Attack f...

引用

5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Gaj, Sibaji Sur, Arijit Bora, Prabin Kumar Indian Inst Technol Dept CSE Multimedia Lab Gauhati 781039 Assam India Indian Inst Technol Dept EEE Gauhati 781039 Assam India

ISBN: (纸本)9781467385640

In this paper, a compressed domain blind watermarking scheme is proposed which embeds the watermark by altering the number of nonzero transform co-efficients (NNZ) of 4 x 4 transform blocks of the HEVC video sequence. To embed the watermark, firstly, temporally homogeneous blocks having relatively less motion are selected. In this work, watermark is inserted in the Intra (I) frame and the motion characteristics of the I frame has been determined using the motion information of the Inter (P or B) predicted frames of its close neighborhood. the watermark is embedded by altering the NNZ difference of 4 x 4 transform blocks in the consecutive intra predicted frames. A comprehensive set of experiments is carried out to show that the scheme is robust against re-compression attacks while maintaining a descent visual quality (PSNR), the bit increase rate (BIR) of the watermarked video.

关键词： Watermarking

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Single image Dehazing with Varying Atmospheric Light Intensity 5

Single Image Dehazing with Varying Atmospheric Light Intensi...

引用

5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Santra, Sanchayan Chanda, Bhabatosh Indian Stat Inst Kolkata India

ISBN: (纸本)9781467385640

images taken in bad weather conditions like haze and fog suffer from loss of contrast and color shift. the object radiance is attenuated in the atmosphere and the atmospheric light is added to the scene radiance creating a veil like semi-transparent layer called airlight. the methods proposed till now assumes that the atmospheric light is constant throughout the image domain, which may not be true always. Here we propose a method that works under the relaxed assumption that the color of atmospheric light is constant but its intensity may vary in the image. We use the color line model to estimate the contribution of airlight in each patch and interpolate at places where the estimate is not reliable. We apply reverse operation to recover the haze free image.

关键词： image enhancement dehazing color line

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Controlling image-stylization Techniques using Eye Tracking 15

Controlling Image-stylization Techniques using Eye Tracking

引用

15th International Joint conference on computer vision, Imaging and computer graphics theory and Applications (VISIGRAPP) / 4th International conference on Human computer Interaction theory and Applications

作者： Soechting, Maximilian Trapp, Matthias Univ Potsdam Fac Digital Engn Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9789897584022

With the spread of smart phones capable of taking high-resolution photos and the development of high-speed mobile data infrastructure, digital visual media is becoming one of the most important forms of modern communication. With this development, however, also comes a devaluation of images as a media form with the focus becoming the frequency at which visual content is generated instead of the quality of the content. In this work, an interactive system using image-abstraction techniques and an eye tracking sensor is presented, which allows users to experience diverting and dynamic artworks that react to their eye movement. the underlying modular architecture enables a variety of different interaction techniques that share common design principles, making the interface as intuitive as possible. the resulting experience allows users to experience a game-like interaction in which they aim for a reward, the artwork, while being held under constraints, e.g., not blinking. the conscious eye movements that are required by some interaction techniques hint an interesting, possible future extension for this work into the field of relaxation exercises and concentration training.

关键词： Eye-tracking image Abstraction image processing Artistic image Stylization Interactive Media

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High Performance VLSI Implementation of Context-based Adaptive Variable Length Coding (CAVLC) for H.264 Encoder

High Performance VLSI Implementation of Context-based Adapti...

引用

4th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Mukherjee, R. Mahajan, V. Chakrabarti, I. Sengupta, S. Indian Inst Technol Dept Elect & Elect Commun Engn Kharagpur 721302 W Bengal India

ISBN: (纸本)9781479915880

the video coding standard H.264 uses Contextbased Adaptive Variable Length Coding (CAVLC) as one of its entropy encoding techniques. this paper proposes VLSI architecture for CAVLC algorithm. the designed hardware meets the required speed of H.264 without compromising the hardware cost. the CAVLC encoder works at a maximum clock frequency of 126 MHz when implemented in Xilinx 10.1i, Virtex-5 technology. the speed is quite appreciable when compared to other existing works. the implemented architecture meets the required rate for processing of HD-1080 format video sequence.

关键词： VLSI CAVLC H.264 FPGA LUT

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Gradient Sensitive Kernel for image Denoising, using Gaussian Process Regression 5

Gradient Sensitive Kernel for Image Denoising, using Gaussia...

引用

5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Dey, Arka Ujjal Harit, Gaurav Indian Inst Technol Jodhpur Dept Comp Sci & Engn Jodhpur Rajasthan India

ISBN: (纸本)9781467385640

We target the problem of image Denoising using Gaussian Processes Regression (GPR). Being a non- parametric regression technique, GPR has received much attention in the recent past and here we further explore its versatility by applying it to a denoising problem. the focus is primarily on the design of a local gradient sensitive kernel that captures pixel similarity in the context of image denoising. this novel kernel formulation is used to shape the smoothness of the joint GP prior. We apply the GPR denoising technique to small patches and then stitch back these patches, this allows the priors to be local and relevant, also this helps us in dealing with GPR complexity. We demonstrate that our GPR based technique gives better PSNR values in comparison to existing popular denoising techniques.

关键词： image denoising

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