Results 261 to 270 of about 195,131 (299)

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
openaire   +1 more source

Features-Pooling Blind JPEG Image Steganalysis

2008 Digital Image Computing: Techniques and Applications, 2008
In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind ...
Chiew Kang Leng, Josef Pieprzyk
openaire   +2 more sources

Task-Driven Feature Pooling for Image Classification

2015 IEEE International Conference on Computer Vision (ICCV), 2015
Feature pooling is an important strategy to achieve high performance in image classification. However, most pooling methods are unsupervised and heuristic. In this paper, we propose a novel task-driven pooling (TDP) model to directly learn the pooled representation from data in a discriminative manner.
Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu 0001   +4 more
openaire   +1 more source

Video quality assessment with dense features and ranking pooling

Neurocomputing, 2021
Abstract Benefiting with the rapid development of communication networks, effective video quality assessment (VQA) models which provide guidance for video transmission and compression technologies are highly demanded. This paper proposes a general-purpose full-reference VQA method combining DenseNet with spatial pyramid pooling and RankNet to not ...
Yu Zhang 0062, Lihuo He, Wen Lu 0004, Jie Li 0001, Xinbo Gao 0001   +4 more
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

Neighbour feature attention-based pooling

Neurocomputing, 2022
Xiaosong Li 0003, Yanxia Wu 0001, Yan Fu, Chuheng Tang, Lidan Zhang   +4 more
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source