Proceedings of the 19th International Conference on Content-based Multimedia Indexing最新文献

Self-Supervised Spiking Neural Networks applied to Digit Classification 自监督脉冲神经网络在数字分类中的应用

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549559

Benjamin Chamand, P. Joly

引用次数: 0

Ecological Impact Assessment Framework for areas affected by Natural Disasters 自然灾害地区生态影响评估框架

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549596

A. Setyanto, Kusrini Kusrini, G. B. Adninda, Renindya Kartikakirana, Rhisa Aidilla Suprapto, A. Laksito, I. M. D. Agastya, K. Chandramouli, A. Majlingová, Yvonne Brodrechtová, K. Demestichas, E. Izquierdo

{"title":"Ecological Impact Assessment Framework for areas affected by Natural Disasters","authors":"A. Setyanto, Kusrini Kusrini, G. B. Adninda, Renindya Kartikakirana, Rhisa Aidilla Suprapto, A. Laksito, I. M. D. Agastya, K. Chandramouli, A. Majlingová, Yvonne Brodrechtová, K. Demestichas, E. Izquierdo","doi":"10.1145/3549555.3549596","DOIUrl":"https://doi.org/10.1145/3549555.3549596","url":null,"abstract":"The forest's biodiversity consists of relations between trees, animals, the environment, and surrounding communities. Their existence required a certain balance both in number and composition. The diversity of the element itself creates a chain that connects each of the living things. Consistently, those mutual relationships are sometimes disturbed by pressures, whether man-made pressures or natural pressures. As a consequence of that event, the biodiversity loses its balance and becomes vulnerable to disaster. The fact that forest fire cases damage every living thing in the forest is becoming a massive issue in forest management. In some instances, the balance of forest biodiversity assembles an ecological resilience essential to the forest condition in combating disturbance. This paper reviews the biodiversity elements and their relationship to the extent to which elements will support ecological resilience. This is a review of 58 studies related to biodiversity balance and ecological resilience. The review discovered evidence that biodiversity components are connected and support each other. However, not every relation contributes to ecological resilience. As a result, we assess several biodiversity elements that might be useful in supporting ecological resilience, which are tree, environment, animal, and community. We also provide 2 case examples case to get the value of some biodiversity elements using a deep learning method.","PeriodicalId":191591,"journal":{"name":"Proceedings of the 19th International Conference on Content-based Multimedia Indexing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129022239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

An Exploration into the Benefits of the CLIP model for Lifelog Retrieval 生命日志检索CLIP模型的优势探讨

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549593

Ly-Duyen Tran, Naushad Alam, Yvette Graham, L. K. Vo, N. T. Diep, Binh T. Nguyen, Liting Zhou, C. Gurrin

引用次数: 2

The Potential of Webcam Based Real Time Eye-Tracking to Reduce Rendering Cost 基于网络摄像头的实时眼球跟踪在降低渲染成本方面的潜力

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549595

Isabel Kütemeyer, M. Lux

{"title":"The Potential of Webcam Based Real Time Eye-Tracking to Reduce Rendering Cost","authors":"Isabel Kütemeyer, M. Lux","doi":"10.1145/3549555.3549595","DOIUrl":"https://doi.org/10.1145/3549555.3549595","url":null,"abstract":"Performance optimisation continues to be a relevant topic both in hardware and software development, with video games producing fully rendered images every 16 or 34 ms, depending on the desired framerate. Human observers close their eyes for about 300 ms an average of twelve times per minute, which means many frames will never be observed. This paper aimed to examine if it would be possible to reduce rendering time by detecting and skipping these unobserved frames. Blinks were identified during runtime by detecting the eye aspect ratio of the observer in low-quality web camera footage. A prototype using this method was tested on a small group of subjects to determine if footage watched this way was perceived as distracting or of lesser quality than unaltered images. Results from a questionnaire suggest that the altered footage did not impact the subjects’ opinions, with no participant reporting any visual disturbances. Because this test used video footage, skipping frames was substituted by a lower resolution render. Altered frames were rendered an average of five percent faster than their unaltered counterparts.","PeriodicalId":191591,"journal":{"name":"Proceedings of the 19th International Conference on Content-based Multimedia Indexing","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130571964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Few-shot Object Detection as a Semi-supervised Learning Problem 作为半监督学习问题的少镜头目标检测

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549599

W. Bailer, Hannes Fassold

引用次数: 0

Sentiment analysis on 2D images of urban and indoor spaces using deep learning architectures 使用深度学习架构对城市和室内空间的二维图像进行情感分析

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549575

Konstantinos Chatzistavros, Theodora Pistola, S. Diplaris, K. Ioannidis, S. Vrochidis, Y. Kompatsiaris

引用次数: 1

Towards Human Performance on Sketch-Based Image Retrieval 基于草图的图像检索的人类性能研究

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549582

Omar Seddati, S. Dupont, S. Mahmoudi, T. Dutoit

{"title":"Towards Human Performance on Sketch-Based Image Retrieval","authors":"Omar Seddati, S. Dupont, S. Mahmoudi, T. Dutoit","doi":"10.1145/3549555.3549582","DOIUrl":"https://doi.org/10.1145/3549555.3549582","url":null,"abstract":"Sketch-based image retrieval (SBIR) solutions are attracting increased interest in the field of computer vision. These solutions provide an intuitive and powerful tool to retrieve images in large-scale image databases. In this paper, we conduct a comprehensive study of classic triplet CNN training pipelines within the SBIR context. We study the impact of embeddings normalization, model sharing, margin selection, batch size, hard mining selection and the evolution of the number of hard triplets during training to propose several avenues for improvement. We also propose dropout column, an adaptation of dropout for triplet network and similar pipelines. In addition, we also introduce a novel approach to build state-of-the-art SBIR solutions that can be used with low power systems. The whole study is conducted using The Sketchy Database, a large-scale SBIR database. We carry out a series of experiments and show that adopting a few simple modifications enhances significantly existing SBIR pipelines (faster training & higher accuracy). Our study enables us to propose an enhanced pipeline that outperforms previous state-of-the-art on the Sketchy Database by a significant margin (a recall of 53.92% compared to 46.2% at k = 1) and reaches almost human performance (54.27%) on a large-scale benchmark.","PeriodicalId":191591,"journal":{"name":"Proceedings of the 19th International Conference on Content-based Multimedia Indexing","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128356600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Chest Diseases Classification Using CXR and Deep Ensemble Learning 基于CXR和深度集成学习的胸部疾病分类

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549581

Adnane Ait Nasser, M. Akhloufi

引用次数: 4

A large-scale TV video and metadata database for French political content analysis and fact-checking 一个大型电视视频和元数据数据库，用于法国政治内容分析和事实核查

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549557

Frédéric Rayar, Mathieu Delalandre, Van-Hao Le

引用次数: 1

StyleGAN-based CLIP-guided Image Shape Manipulation 基于stylegan的剪贴引导图像形状操作

Proceedings of the 19th International Conference on Content-based Multimedia Indexing Pub Date : 2022-09-14 DOI: 10.1145/3549555.3549556

Yuchen Qian, Kohei Yamamoto, Keiji Yanai

引用次数: 0