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Partial Inter-Frame Coding for Dynamic Meshes

Partial Inter-Frame Coding for Dynamic Meshes

引用

IEEE International conference on image processing

作者： Xudong Jin Jianfeng Xu Kei Kawamura Advanced Visual Communication Laboratory XR Division KDDI Research Inc.

ISBN: (数字)9798350349399

ISBN: (纸本)9798350349405

The MPEG-3DGH group is advancing a new standard for dynamic mesh encoding, known as Video-based Dynamic Mesh Coding (V-DMC). While V-DMC improves efficiency by toggling between intra- and inter-frame coding, it struggles with dynamic meshes that change inconsistently across frames. To address this issue, we introduce a novel partial inter-frame coding mode within the V-DMC framework. The method initiates by partitioning the adjacent frames into temporally aligned segments. These segments are then classified as suitable for either intra-frame or inter-frame coding based on the detection of inconsistent changes. Leveraging these segmentations, we introduce a partial inter-frame coding mode that allows for the selective application of intra- and inter-frame coding at the level of individual segments. Experiments on the MPEG V-DMC test sequences demonstrate that our method can achieve BD-rate improvement over the anchor in terms of D1, D2, Luma, Cb, and Cr PSNRs by -2.1%,-2.7%,-4.7%,-5.4%, and -4.5%, respectively.

关键词： image segmentation image coding Transform coding Streaming media Aerodynamics Distortion Complexity theory

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A Progressive Fast CU Split Decision Scheme for AVS3

A Progressive Fast CU Split Decision Scheme for AVS3

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IEEE visual communications and image processing (VCIP)

作者： YUYUAN CHEN SONGLIN SUN JIAQI ZHANG SHANSHE WANG BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS BEIJING CHINA INSTITUTE OF COMPUTING TECHNOLOGY CHINESE ACADEMY OF SCIENCES BEIJING CHINA NATIONAL ENGINEERING LABORATORY FOR VIDEO TECHNOLOGY PEKING UNIVERSITY BEIJING CHINA

ISBN: (数字)9781728180687

ISBN: (纸本)9781728180694

AVS3 is the newest video coding standard developed by AVS (Audio Video coding Standard) group. AVS3 adopted QTBT(Quad-tree and Binary-tree) plus EQT(Extended quad-tree) block partition scheme, which makes the split process more flexible. The CU split structure is determined by a brute-force rate-distortion optimization (RDO) search. After the whole RDO search, the CU partition with minimum RD cost is selected. The flexible block partition and thorough RDO search bring promising coding gain while extremely complicate the encoder. To reduce the computational complexity of the CU split decision process in AVS3, this paper proposed a spatial information based fast split decision algorithm. In the proposed algorithm, the predicted value of split complexity was calculated firstly according to the information of spatial neighboring blocks. Then the predicted value was used to decide whether to split current CU or not. The experimental results show that the proposed algorithm resulted in average 31.03% encoding time saving with average 0.54% BD-BR loss for Random Access (RA) configuration. The proposed algorithm can greatly reduce the computational complexity of the CU split decision process with negligible performance loss.

关键词： Encoding Prediction algorithms Partitioning algorithms Standards Correlation Copper image coding

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Impressionism, Ukiyo-e and Color Imaging: A fMRI Study of Color Related visual Cortex: V4

Impressionism, Ukiyo-e and Color Imaging: A fMRI Study of Co...

引用

Final Programme and Proceedings;First European conference on Colour in Graphics, Imaging and Vision (CGIV'2002)

作者： Ichihara, Yasuyo G. Nakadomari, Satoshi Takeuchi, Hiroaki Miyauchi, Satoru Kitahara, Kenji Dept. of Arts Hosen Gakuen College Tokyo Japan Communications Research Laboratory Tokyo Japan Jikei University School of Medicine Tokyo Japan

ISBN: (纸本)0892082399

Color imaging is produced from Neo-Impressionism that is the pictures of George Seurat and Paul Signac 19th Century French painting. These pictures are composed by many color dots, and modern color imaging is constructed of red, green and blue color pixels on a color display. This color imaging system is only one of some systems of the seeing world in our brain. We suggest that there are various seeing color systems from our retina to our brain. Post Impressionists painted their pictures with various methods and experimented to represent the color world in the brain. Impressionism was greatly influenced by Japanese Ukiyo-e art and artists like Hokusai and Hiroshige. This is called Japonism, the influence of Japanese art on European art, especially impressionism. Ukiyo-e is a kind of multicolored wood-block print of the Edo period (1603 - 1867). At first, there were just one color wood-block prints with brush-added color in the 1710s, then two or three color wood-block prints evolved in the 1740s, and finally in the 1760s the multicolor wood-block prints called "nishiki-e" were invented. Ukiyo-e's style differs from European traditional arts and predates Impressionism. It involves drawing the outline of objects and one color painting. The print is composed of the multicolored plane surfaces. The research of modern scientists has thrown new light on the subject of the difference of picture styles by seeing directly our brain activity using functional magnetic resonance imaging system. We created some pictures inspired by the pictures of Post Impressionists and Ukiyo-e for functional magnetic resonance imaging to test multiple color-sensitive areas in human ventral occipitotemporal cortex. The results showed that area V4 is activated by the stimulus of reading shapes from its color but not by the stimulus of seeing a colour dot. We suggest V4 is activated by figures composed of colour dots with geometric pattern, and V4 has low response to the camouflage figure in whic

关键词： Color image processing

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A Novel Spatial-Temporal Fusion Framework Based on Object Trajectories

A Novel Spatial-Temporal Fusion Framework Based on Object Tr...

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International conference on Intelligent Computing, Automation and Systems (ICICAS)

作者： Canghong Jin Ting Tao Tao Ruan Lei Xu Xianzhe Luo Rui Li Zhejiang University City College Hangzhou China Zhejiang Provincial Institute of Communications Planning Design & Research Hangzhou China Zhejiang University Hangzhou China

ISBN: (数字)9781728161068

ISBN: (纸本)9781728161075

With the development of information technology, the traces of residents could be caught by sensors all over the city, from which to identify specific people such as suspects, has become the focus of public security departments in recent years. Although there are some advantages of the mass of Spatio-temporal records, the activity records contain both temporal and spatial context is high-order and sparse. Therefore, it is difficult to identify users, especially for those small groups of individuals. In this paper, we propose a framework to identify users by fuzzed Spatio-temporal traces, in which we first extract the features from several perspectives and generate the TSGH (Time-slice Geohash) model and STPS (Spatio-temporal Proportion and Similarity) model. All these features are combined with classical classification models to distinguish users. We set up a real-life dataset and evaluate performance effectiveness with precision and recall measures. The final results show that the fuzzy operations could describe the characteristic of traces better and improve the prediction performance.

关键词： data mining feature extraction fuzzy set theory image classification image fusion learning (artificial intelligence) spatiotemporal phenomena video signal processing visual databases spatiotemporal phenomena visual databases Video signal processing image fusion Fuzzy Set Theory image classification Feature extraction data mining Small groups information technology Consumers similarity model

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Coupled shape priors for dynamic segmentation of dendritic spines

Coupled shape priors for dynamic segmentation of dendritic s...

引用

IEEE Signal processing and communications Applications (SIU)

作者： Naeimeh Atabakilachini Ertunc Erdil A. Ozgur Argunsah Lavdie Rada Devrim Unay Mujdat Cetin Faculty of Engineering and Natural Sciences Sabanci University Istanbul Turkey Zurich University Institute of Brain Research Zurich Switzerland Faculty of Engineering and Natural Sciences Bahcesehir University Istanbul Turkey Department of Biomedical Engineering Izmir Economy University Izmir Turkey

ISBN: (纸本)9781509064953

Segmentation of biomedical images is a challenging task, especially when there is low quality or missing data. The use of prior information can provide significant assistance for obtaining more accurate results. In this paper we propose a new approach for dendritic spine segmentation from microscopic images over time, which is motivated by incorporating shape information from previous time points to segment a spine in the current time point. In particular, using a training set consisting of spines in two consecutive time points to construct coupled shape priors, and given the segmentation in the previous time point, we can improve the segmentation process of the spine in the current time point. Our approach has been evaluated on 2-photon microscopy images of dendritic spines and its effectiveness has been demonstrated by both visual and quantitative results.

关键词： Shape image segmentation Microscopy visualization Training Manuals Neck

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A New Bounding Box based Pseudo Annotation Generation Method for Semantic Segmentation

A New Bounding Box based Pseudo Annotation Generation Method...

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IEEE visual communications and image processing (VCIP)

作者： Xiaolong Xu Fanman Meng Hongliang Li Qingbo Wu King Ngi Ngan Shuai Chen School of ICE University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9781728180687

ISBN: (纸本)9781728180694

This paper proposes a fusion-based method to generate pseudo-annotations from bounding boxes for semantic segmentation. The idea is to first generate diverse foreground masks by multiple bounding box segmentation methods, and then combine these masks to generate pseudo-annotations. Existing methods generate foreground masks from bounding boxes by classical segmentation methods driving by low-level features and own local information, which is hard to generate accurate and diverse results for the fusion. Different from the traditional methods, multiple class-agnostic models are modeled to learn the objectiveness cues by using existing labeled pixel-level annotations and then to fuse. Firstly, the classical Fully Convolutional Network (FCN) that densely predicts the pixels' labels is used. Then, two new sparse prediction based class-agnostic models are proposed, which simplify the segmentation task as sparsely predicting the boundary points through predicting the distance from the bounding box border to the object boundary in Cartesian Coordinate System and the Polar Coordinate System, respectively. Finally, a voting-based strategy is proposed to combine these segmentation results to form better pseudo-annotations. We conduct experiments on PASCAL VOC 2012 dataset. The mIoU of the proposed method is 68.7%, which outperforms the state-of-the-art method by 1.9%.

关键词： Annotations image segmentation Training Semantics Predictive models Task analysis Pipelines

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On 2D-3D image Feature Detections for image-To-Geometry Registration in Virtual Dental Model

On 2D-3D Image Feature Detections for Image-To-Geometry Regi...

引用

IEEE visual communications and image processing (VCIP)

作者： Hui Tang Tai-Chiu Hsung Walter Y.H. Lam Leo Y. Y. Cheng Edmond H.N. Pow School of Information Engineering Guangdong University of Technology Guangzhou People's Republic of China Faculty of Dentistry The University of Hong Kong Hong Kong SAR People's Republic of China

ISBN: (数字)9781728180687

ISBN: (纸本)9781728180694

3D digital smile design (DSD) gains great interest in dentistry because it enables esthetic design of teeth and gum. However, the color texture of teeth and gum is often lost/distorted in the digitization process. Recently, the image-to-geometry registration shade mapping (IGRSM) method was proposed for registering color texture from 2D photography to 3D mesh model. It allows better control of illumination and color calibration for automatic teeth shade matching. In this paper, we investigate automated techniques to find the correspondences between 3D tooth model and color intraoral photographs for accurately perform the IGRSM. We propose to use the tooth cusp tips as the correspondence points for the IGR because they can be reliably detected both in 2D photography and 3D surface scan. A modified gradient descent method with directional priority (GDDP) and region growing are developed to find the 3D correspondence points. For the 2D image, the tooth tips contour lines are extracted based on luminosity and chromaticity, the contour peaks are then detected as the correspondence points. From the experimental results, the proposed method shows excellent accuracy in detecting the correspondence points between 2D photography and 3D tooth model. The average registration error is less than 15 pixels for 4752×3168 size intraoral image.

关键词： Teeth Three-dimensional displays Two dimensional displays image color analysis Dentistry Surface morphology Solid modeling

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The Study of ROI Detection Based on visual Attention Mechanism

The Study of ROI Detection Based on Visual Attention Mechani...

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International conference on Wireless communications, Networking and Mobile Computing (WiCom)

作者： Qing-hua Chen Xiao-fang Xie Tian-jie Guo Lei Shi Xiao-fei Wang Dept. of Ordnance Sci. & Technol. Naval Aeronaut. & Astronaut. Univ. Yantai China Brigade of Naval Aeronaut. & Astronaut. Univ. Yantai China

With the development of science and technology, the technique of detecting regions of interest (ROI) plays an increasingly role in the field of the image analysis and processing. Human vision system actively seeks interesting regions in images to reduce the search export in tasks, such as object detection and recognition. Similarly, prominent actions in video sequences are more likely to attract human's first sight than their surrounding neighbors. Based on the mechanism of HVS, this paper proposes a model of the focus of attention for detecting the attended regions in video sequences. It uses the similarity between the adjacent frames, establishes the gray histogram, selects the maximum similarity as predicable model, and gets position of the focus of attention in the next fame. For dynamic scene the model can pay more attention on moving targets and meets people's attention mechanism. The experimental results indicate that this model is effective in robustness and real-time.

关键词： visualization Computational modeling Humans Pixel Target tracking image recognition Target recognition

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Quantitative analysis and fracture detection of pelvic bone X-ray images

Quantitative analysis and fracture detection of pelvic bone ...

引用

International conference on Computing and Networking Technology (ICCNT)

作者： R. Vijayakumar G. Gireesh Mahendra Engineering College Namakkal Tamilnadu

ISBN: (纸本)9781479939275

Today bone fractures are very common in our country because of road accidents or through other injuries. The X-Ray images are the most common accessibility of peoples during the accidents. But the minute fracture detection in X-Ray image is not possible due to low resolution and quality of the original X-Ray image. The complexity of bone structure and the difference in visual characteristics of fracture by their location. So it is difficult to accurately detect and locate the fractures also determine the severity of the injury. The automatic detection of fractures in X-Ray images is a significant contribution for assisting the physicians in making faster and more accurate patient diagnostic decisions and treatment planning. In this paper, an automatic hierarchical algorithm for detecting bone fracture in X-Ray image is proposed. It uses the Gray level cooccurrence matrix for detecting the fracture. The results are promising, demonstrating that the proposed method is capable of automatically detecting both major and minor fractures accurately, and shows potential for clinical application. Statistical results also indicate the superiority of the proposed methods compared to other techniques. This paper examines the development of such a system, for the detection of long-bone fractures. This project fully employed MATLAB 7.8.0 (.r2009a) as the programming tool for loading image, image processing and user interface development. Results obtained demonstrate the performance of the pelvic bone fracture detection system with some limitations.

关键词： image edge detection image segmentation Bones Injuries X-ray imaging Feature extraction Gray-scale

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Natural vs. manmade scene classification using statistics of straight lines

Natural vs. manmade scene classification using statistics of...

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International conference on Advances in Computing, communications and Informatics (ICACCI)

作者： S.P. Vimal G. Bharat P. Vinod Arshdeep Singh Takkar P.K. Thiruvikraman Birla Institute of Technology & Science (BITS) Pilani Pilani Rajasthan India Birla Institute of Technology & Science (BITS) Pilani Pilani Hyderabad Campus Andra Pradesh India Birla Institute of Technology and Science Pilani Rajasthan IN

ISBN: (纸本)9781479930814

Classification of scenes along the semantic categories has received tremendous attention from researchers working in the field of computer vision. The content and the context information obtained from scenes at various levels of granularity have been used to solve the problem of classification of scenes. We propose a simple approach for classifying the scenes on the broader semantic lines of categories, which are natural and manmade (or artificial) scenes. Our approach is based on the observation that at a primitive level of visual processing of scenes, the presence of large number of straight line segments is more discriminative in deciding whether the scene is natural or manmade. We extract and encode the information about the straight line segments as a descriptor and use it to classify the scene as natural or manmade. Then, we compare our descriptor with the common descriptors like HSV (Hue, Saturation and Value) Histogram and Edge Orientation Histograms (EOH).

关键词： Histograms image edge detection image color analysis Satellites Databases Color Google

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