Results 221 to 230 of about 202,798 (258)

Deep regional feature pooling for video matching

2017 IEEE International Conference on Image Processing (ICIP), 2017
In this work, we study the problem of deep global descriptors for video matching with regional feature pooling. We aim to analyze the joint effect of ROI (Region of Interest) size and pooling moment on video matching performance. To this end, we propose to mathematically model the distribution of video matching function with a pooling function nested ...
Yan Bai, Jie Lin 0001, Vijay Chandrasekhar 0001, Yihang Lou, Shiqi Wang 0001, Ling-Yu Duan, Tiejun Huang 0001, Alex C. Kot   +7 more
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Entropy Based Feature Pooling in Speech Command Classification

2021
In this research a novel deep learning architecture is proposed for the problem of speech commands recognition. The problem is examined in the context of internet-of-things where most devices have limited resources in terms of computation and memory.
Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas   +4 more
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Street View Image Retrieval with Average Pooling Features

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Street view image retrieval is a challenging subject due to the complexity of the street view. Such images contain a large number of similarly structured buildings and are obscured by other objects such as pedestrians and vehicles. In this paper, we present a street view image retrieval system based on average pooling features and SIFT (Scale-invariant
Tianyou Chu, Yumin Chen, Liheng Huang, Huangyuan Tan, Jiping Cao, Zhiqiang Xu   +5 more
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Feature pooling for small visual dictionaries

SPIE Proceedings, 2016
Large visual dictionaries are often used to achieve good image classification performance in bag-of-features (BoF) model, while they lead to high computational cost on dictionary learning and feature coding. In contrast, using small dictionaries can largely reduce the computational cost but result in poor classification performance.
Xianglin Huang, Ye Xu, Lifang Yang, Jianglong Zhang   +3 more
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Neighbour feature attention-based pooling

Neurocomputing, 2022
Xiaosong Li 0003, Yanxia Wu 0001, Yan Fu, Chuheng Tang, Lidan Zhang   +4 more
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Pyramid Pooling of Convolutional Feature Maps for Image Retrieval

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
We propose a novel method for content based image retrieval based on the features extracted from the convolutional layers of the deep neural network architecture. Some of the popular approaches form the feature vectors from the fully connected layers of the convolutional neural networks or directly concatenate the features from the convolutional layers.
Abin Jose, Ricard Durall Lopez, Iris Heisterklaus, Mathias Wien   +3 more
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MPL-Boosted Integrable Features Pool for pedestrian detection

2011 18th IEEE International Conference on Image Processing, 2011
This paper presents a fast and accurate pedestrian detection method. To find a balance between speed and accuracy, we propose a Multi-Pose Learning Boosted Integrable Features Pool (MPL-Boosted IFP) approach. Our method achieves high recall-rate while taking the speed-advantage of cascade-of-rejectors approach. We build different types of feature sets,
Junqiang Wang, Huadong Ma
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Human action recognition from simple feature pooling

Pattern Analysis and Applications, 2012
Human action recognition (HAR) from images is an important and challenging task for many current applications. In this context, designing discriminative action descriptors from simple features is a relevant task. In this paper we show that very good descriptors can be build from simple filter outputs when multilevel architectures and non-linear ...
Manuel J. Marín-Jiménez, Nicolas Pérez de la Blanca, Maria Ángeles Mendoza   +2 more
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Entity centric Feature Pooling for Complex Event Detection

Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, 2014
In this paper, we propose an entity centric region of interest detection and visual-semantic pooling scheme for complex event detection in YouTube-like videos. Our method is based on the hypothesis that many YouTube-like videos involve people interacting with each other and objects in their vicinity.
Ishani Chakraborty, Hui Cheng, Omar Javed   +2 more
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Boosting with a Joint Feature Pool from Different Sensors

2009
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the systems universality, since an object category could be partially consistent in shape, texture or both.
Dominik A. Klein, Dirk Schulz 0001, Simone Frintrop   +2 more
openaire   +1 more source