Depth Map Rasterization Using Triangulation and Color Consistency for Various Sampling Structures
The reconstruction of a dense depth map from sparsely sampled depth information has been studied to improve stereoscopic 3-D images. Among various sparse-to-dense depth map reconstruction methods, triangular-patch-based approaches have been widely used. ...
FDQM: Fast Quality Metric for Depth Maps Without View Synthesis
We propose a fast quality metric for depth maps, called fast depth quality metric (FDQM), which efficiently evaluates the impacts of depth map errors on the qualities of synthesized intermediate views in multiview video plus depth applications. In other ...
High-Performance Video Condensation System
Video synopsis or condensation is a smart solution for fast video browsing and storage. However, most of the existing methods work offline, where two main phases are required. The first phase is to prepare tubes and background images. The second phase is ...
Resolving Ambiguous Hand Pose Predictions by Exploiting Part Correlations
The positions of the hand joints are important high-level features for hand-based human-computer interaction. We present a novel method to predict the 3-D joint positions from the depth images and the parsed hand parts obtained with a pretrained ...
Facial Analysis With a Lie Group Kernel
To efficiently deal with the complex nonlinear variations of face images, a novel Lie group (LG) kernel is proposed in this paper to address the facial analysis problems. First, we present a linear dynamic model (LDM)-based face representation to capture ...
Visual Hull-Based Geometric Data Compression of a 3-D Object
As image-based 3-D modeling is used in a variety of applications, accordingly, the compression of 3-D object geometry represented by multiple images becomes an important task. This paper presents a model-based approach to predict the geometric structure ...
Video Error Correction Using Soft-Output and Hard-Output Maximum Likelihood Decoding Applied to an H.264 Baseline Profile
Error concealment has long been identified as the last line of defense against transmission errors. Since error handling is outside the scope of video coding standards, decoders may choose to simply ignore corrupted packets or attempt to decode their ...
Cross-Layer Fairness-Driven Concurrent Multipath Video Delivery Over Heterogeneous Wireless Networks
The growing availability of various wireless access technologies promotes increasing demand for mobile video applications. Stream control transmission protocol (SCTP)-based concurrent multipath transfer (CMT) improves the wireless video delivery ...
Exploratory Product Image Search With Circle-to-Search Interaction
Exploratory search is emerging as a new form of information-seeking activity in the research community, which generally combines browsing and searching content together to help users gain additional knowledge and form accurate queries, thereby assisting ...
Design and ARM-Embedded Implementation of a Chaotic Map-Based Real-Time Secure Video Communication System
A systematic methodology is proposed for a chaotic map-based real-time video encryption and decryption system with advanced Reduced Instruction Set Computer machine (ARM)-embedded hardware implementation. According to the anticontrol principle of ...
Programmable Low-Power Multicore Coprocessor Architecture for HEVC/H.265 In-Loop Filtering
The High Efficiency Video Coding (HEVC) in-loop filtering is designed to reduce coding artifacts caused by image transforms and quantizations. HEVC in-loop filtering is divided to the deblocking filter and the sample adaptive offset filter, and these two ...
Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection
Interactions among pedestrians usually play an important role in understanding crowd behavior. However, there are great challenges, such as occlusions, motion, and appearance variance, on accurate analysis of pedestrian interactions. In this paper, we ...
A Compressive Sensing Approach to Describe Indoor Scenes for Blind People
This paper introduces a new portable camera-based method for helping blind people to recognize indoor objects. Unlike state-of-the-art techniques, which typically perform the recognition task by limiting it to a single predefined class of objects, we ...