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155 Result(s)
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Chapter and Conference Paper
Personalized Accessibility Maps (PAMs) for Communities with Special Needs
Accessibility data/information is necessary to support the everyday mobility of people with special needs. As a means to accommodate mobility of students with special needs, universities and colleges provide m...
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Chapter and Conference Paper
Incremental Learning of Patch-Based Bag of Facial Words Representation for Online Face Recognition in Videos
Video-based face recognition is a fundamental topic in image and video analysis, and presents various challenges and opportunities. In this paper, we introduce an incremental learning approach to video-based f...
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Chapter and Conference Paper
A Local Texture-Constrained Super-Resolution Method
This paper proposes a local texture constrained super-resolution method for the reconstruction of high-resolution image. Through the learned low/high-resolution patches from training images, the intended high ...
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Chapter and Conference Paper
Active Learning for Transferrable Object Classification in Cross-View Traffic Scene Surveillance
We discuss the problem of object classification in cross-view traffic scene surveillance videos in this paper. To classify moving objects in traffic scene videos into pedestrian, bicycle and variety of vehicle...
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Chapter and Conference Paper
Towards Independent Color Space Selection for Human Skin Detection
Skin color detection plays an important role in video based applications. Without considering the selection of suitable color space, a novel skin color detection method is proposed based on the flexible neural...
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Chapter and Conference Paper
Efficient Partial Decoding Scheme for Intra Frame in H.264/AVC Stream
Partial decoding is an effective way to improve the processing efficiency in many video applications such as video retrieval and mobile video display. But after many advanced prediction technology were introdu...
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Chapter and Conference Paper
A Secure Semi-fragile Self-recoverable Watermarking Algorithm Using Group-Based Wavelet Quantization
In this paper, we propose a secure semi-fragile self-recoverable watermarking algorithm using group-based wavelet quantization. The image is split into image blocks with size 16×16. A 5-bit authentication wate...
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Chapter and Conference Paper
A Robust Watermarking Scheme Based on Dual Quantization of Wavelet Significant Difference
This paper proposes a blind robust watermarking algorithm based on the quantization of significant DWT coefficients. Low frequent wavelet coefficients of the host image are randomly permutated into sub-groups ...
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Chapter and Conference Paper
The Research of the Face’s Depth Information Generation Technology Based on the Candide Model
Now in the 2D to 3D conversion of the many movie scenes, the obtained depth information is not satisfied because of its inaccuracy and poor stereoscopic result. The paper has provided a simple and effective ap...
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Chapter and Conference Paper
Image Ranking via Attribute Boosted Hypergraph
Recently, the visual attribute of images is becoming a research focus in computer vision and multimedia retrieval areas due to its describable or human-nameable nature for image understanding. In this paper, t...
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Chapter and Conference Paper
Adaptive Rate-Distortion Prediction for Multiple Reference Selection and Inter-mode Decision
To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selectio...
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Chapter and Conference Paper
SSIM-Based Error Resilient Video Coding over Packet-Switched Networks
The visual quality is a critical factor of compressed videos for error-prone transmission. This paper proposes a structural similarity (SSIM) based error resilient video coding scheme to improve the visual qua...
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Chapter and Conference Paper
SSIM-Based End-to-End Distortion Modeling for H.264 Video Coding
The estimation of end-to-end distortion plays a key role in error-resilient video coding and perceptual quality control. The traditional end-to-end distortion estimation methods are mainly based on the MSE or ...
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Chapter and Conference Paper
Top-Down Saliency by Multi-scale Contextual Pooling
Goal-driven top-down mechanism plays an important role in the case of object detection and recognition. In this paper, we propose a top-down computational model for goal-driven saliency detection based on a co...
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Chapter and Conference Paper
Location Based Robust Audio Watermarking Algorithm for Social TV System
There is a big gap between TV and social network in conventional Social Networking Services. The mobile terminals cannot get the interactive URL from TV broadcasting automatically and the social network cannot...
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Chapter and Conference Paper
Structural Context-Aware Cross Media Recommendation
Traditional tensor factorization based context-aware collaborative filtering considers the context as homogeneous ones, which uses vectorization to implement the factorization as the single context version whi...
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Chapter and Conference Paper
Fast Intra Prediction for High Efficiency Video Coding
Emerging High Efficiency Video Coding (HEVC) video coding standard promises the significant compression performance improvement compared to the H.264/AVC. However it comes with the tremendous encoding complexi...
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Chapter and Conference Paper
Image Primitive Coding and Visual Quality Assessment
In this work, we introduce a new content-adaptive compression scheme, called image primitive coding, which exploits the input image for training a dictionary. The atoms composed of the learned dictionary are n...
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Chapter and Conference Paper
Cross-Media Semantics Mining Based on Sparse Canonical Correlation Analysis and Relevance Feedback
Cross-media learning is a new hot topic in multimedia content analysis and retrieval. Because multimedia data of different modalities are heterogeneous in feature space and there exists the well-know semantic ...
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Chapter and Conference Paper
Kinect-Based Easy 3D Object Reconstruction
Inspired by the recently developed KinectFusion technique, which is able to reconstruct a 3D scene in real time through moving Kinect, we consider improving KinectFusion for 3D reconstruction of a real object....