55 Result(s)
within
Computer Science
Computer Graphics
Image Processing and Computer Vision
Zhuo** **e
Chapter
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Chapter and Conference Paper
An Interactive Virtual Training System for Assembly and Disassembly Based on Precedence Constraints
Compared with traditional training modes of assembly/disassembly, the virtual environment has advantages for enhancing the training quality, saving training resources, and breaking restrictions on training equ...
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Chapter and Conference Paper
Accurate Detection for Scene Texts with a Cascaded CNN Networks
We propose an algorithm of text detection to accurately and reliably determine the bounding regions of texts in a natural scene. The cascaded convolutional neural networks are aggregated in our system in order...
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Chapter and Conference Paper
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Despite the steady progress in video analysis led by the adoption of convolutional neural networks (CNNs), the relative improvement has been less drastic as that in 2D static image classification. Three main c...
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Chapter and Conference Paper
Semantic Segmentation Based Automatic Two-Tone Portrait Synthesis
This paper presents a semantic segmentation based method for automatically synthesizing two-tone cartoon portraits in black-and-white style. Synthesizing two-tone portraits from photographs can be considered a...
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Chapter and Conference Paper
Dense Volume-to-Volume Vascular Boundary Detection
In this work, we tackle the important problem of dense 3D volume labeling in medical imaging. We start by introducing HED-3D, a 3D extension of the state-of-the-art 2D edge detector (HED). Next, we develop a n...
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Chapter and Conference Paper
Top-Down Learning for Structured Labeling with Convolutional Pseudoprior
Current practice in convolutional neural networks (CNN) remains largely bottom-up and the role of top-down process in CNN for pattern analysis and visual inference is not very clear. In this paper, we propose ...
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Chapter and Conference Paper
HFS: Hierarchical Feature Selection for Efficient Image Segmentation
In this paper, we propose a real-time system, Hierarchical Feature Selection (HFS), that performs image segmentation at a speed of 50 frames-per-second. We make an attempt to improve the performance of previou...
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Chapter and Conference Paper
Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks
In this paper, we propose a deep Convolutional Neural Network (CNN) for counting the number of people across a line-of-interest (LOI) in surveillance videos. It is a challenging problem and has many potential ...
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Chapter and Conference Paper
Computational Complexity Balance Between Encoder and Decoder for Video Coding
Distributed video coding is a coding paradigm that shifts the computational intensive motion estimation from encoder to decoder. The lightweight encoder is far more attractive for wireless sensor network and w...
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Chapter and Conference Paper
A Stochastic Quasi-Newton Method for Non-Rigid Image Registration
Image registration is often very slow because of the high dimensionality of the images and complexity of the algorithms. Adaptive stochastic gradient descent (ASGD) outperforms deterministic gradient descent a...
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Chapter and Conference Paper
Structural Edge Detection for Cardiovascular Modeling
Computational simulations provide detailed hemodynamics and physiological data that can assist in clinical decision-making. However, accurate cardiovascular simulations require complete 3D models constructed f...
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Chapter and Conference Paper
iCHUM: An Efficient Algorithm for High Utility Mining in Incremental Databases
High utility mining is a fundamental topic in association rule mining, which aims to discover all itemsets with high utility from transaction database. The previous studies are mainly based on fixed databases,...
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Chapter and Conference Paper
Action and Gesture Temporal Spotting with Super Vector Representation
This paper focuses on describing our method designed for both track 2 and track 3 at Looking at People (LAP) challenging [1]. We propose an action and gesture spotting system, which is mainly composed of three st...
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Chapter and Conference Paper
CSRA: An Efficient Resource Allocation Algorithm in MapReduce Considering Data Skewness
MapReduce offers a promising programming model for big data processing. One significant issue in practical applications is data skew, its an important reason for the emergence of stragglers which makes the dat...
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Chapter and Conference Paper
User-Assisted Inverse Procedural Facade Modeling and Compressed Image Rendering
We take advantage of human intuition by encoding facades into a procedural representation. Our user-assisted inverse procedural modeling approach allows users to exploit repetitions and symmetries of facades t...
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Chapter and Conference Paper
Couple Metric Learning Based on Separable Criteria with Its Application in Cross-View Gait Recognition
Gait is an important biometric feature to identify a person at a distance. However, the performance of the traditional gait recognition methods may degenerate when the viewing angle is changed. This is because...
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Chapter and Conference Paper
Erratum: Couple Metric Learning Based on Separable Criteria with Its Application in Cross-View Gait Recognition
There are two typos in the original version of this paper.
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Chapter and Conference Paper
Visual Phrase Learning and Its Application in Computed Tomographic Colonography
In this work, we propose a visual phrase learning scheme to learn an optimal visual composite of anatomical components/parts from CT colonography images for computer-aided detection. The key idea is to utilize...
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Chapter and Conference Paper
A Representative-Sequence Based Near-Duplicate Video Detection Method
This paper presents a method of near-duplicate video detection based on representative-sequence. Firstly, the video is divided into different scenes according to the variance of the Chi-squared color histogram...
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Chapter and Conference Paper
A Prediction Reference Structure Based Hierarchical Perceptual Encryption Algorithm for H.264 Bitstream
In this paper, correspondence between the degree of video motion and the motion reference ratio (MRR) of macroblock (MB) has been studied firstly. An efficient hierarchical perceptual encryption algorithm for ...
