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检索条件"机构=Computer Vision and Image Processing Laboratory School of Electrical Engineering"

共 373 条记录，以下是131-140 订阅

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Markov random field estimation of lost DCT coefficients in JPEG due to packet errors

Markov random field estimation of lost DCT coefficients in J...

引用

IEEE International Conference on image processing

作者： J. Yang E.J. Delp Vidco and Image Processing Laboratory VIPER School or Electrical and Computer Engineering Purdue University West Lafayette IN USA

Interleaving is used before the encoding of source symbols in JPEG to reduce visual artifacts due to lost packets because interleaving distributes the locations of errors. The recovery of lost DCT coefficients in interleaved image compression is investigated in this paper. To restore the lost coefficients, an Maximum a Posteriori (MAP) estimate for the DCT coefficients is proposed. Under the assumption of a Gauss-Markov Random Field (GMRF) model in the pixel domain, the MAP estimate for the lost DCT coefficients is derived.

关键词： Markov random fields Discrete cosine transforms Decoding Interleaved codes image coding Automatic repeat request Streaming media image restoration Laboratories Communication networks

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Spatial Texture Models for Video Compression

Spatial Texture Models for Video Compression

引用

IEEE International Conference on image processing

作者： Marc Bosch Fengqing Zhu Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In this paper we integrate several spatial texture tools into a texture-based video coding scheme. We implemented texture techniques and segmentation strategies in order to detect texture regions in video sequences. These textures are analyzed using temporal motion techniques and are labeled as skipped areas that are not encoded. After the decoding process, frame reconstruction is performed by inserting the skipped texture areas into the decoded frames. We are able to show an improvement over previous texture-based implementations in terms of compression efficiency.

关键词： Video compression Decoding image reconstruction image coding image segmentation image texture analysis Video coding Feature extraction Synthesizers Video sequences

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Illumination Correction for Unsupervised Person Re-Identification

Illumination Correction for Unsupervised Person Re-Identific...

引用

IEEE Southwest Symposium on image Analysis and Interpretation

作者： Jiaqi Guo Amy R. Reibman Edward J. Delp Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette Indiana USA

Unsupervised person re-identification (re-ID) aims to learn identity information from a source domain (e.g. one surveillance system) and apply it to a target domain (e.g. a different surveillance system). This is challenging due to occlusion, viewpoint, and illumination variations between the different domains (i.e. systems). In this paper, we propose a neural network architecture, known as Synthetic Model Bank (SMB), to address illumination variation in unsupervised person re-ID. The basic idea of SMB is to use synthetic data for training different re-ID models for different illumination conditions. From our experiments, the proposed SMB outperforms other synthetic augmentation methods on several re-ID benchmarks.

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Multiresolution detection of stellate lesions in mammograms

Multiresolution detection of stellate lesions in mammograms

引用

IEEE International Conference on image processing

作者： Sheng Liu E.J. Delp Video and Image Processing Laboratory VIPER School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Presents a new multiresolution scheme for the detection of stellate lesions in digital mammograms. First, a multiresolution representation of the original mammogram is obtained using a linear phase nonseparable 2-D wavelet transform. A set of features are then extracted at each resolution for every pixel. This addresses the difficulty of predetermining the neighborhood size for feature extraction to characterize objects that may appear with different sizes. Detection is performed from the coarsest resolution to the finest resolution using binary tree classifiers. This top-down approach requires less computation by starting with the least amount of data and propagating detection results to finer resolutions. Experimental results on the MIAS image database have shown that this algorithm is capable of detecting stellate lesions of very different sizes.

关键词： Lesions Feature extraction Wavelet transforms Binary trees Classification tree analysis image databases

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A Secure Group Key Management Scheme for Wireless Cellular Networks

A Secure Group Key Management Scheme for Wireless Cellular N...

引用

International Conference on Information Technology: New Generations (ITNG)

作者： Hwayoung Um E.J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In wireless networks, secure multicast protocols are difficult to implement efficiently due to the dynamic nature of the multicast group and scarcity of bandwidth at the receiving and transmitting ends. Mobility is one of the most distinct features to be considered in a wireless network. Moving users onto the key tree causes extra key management resources even though they are still in service. To take care of frequent handoff between wireless access networks, it is necessary to reduce the number of rekeying messages and the size of the messages. In this paper, we design a key management tree such that neighbors on the key tree are also physical neighbors on the cellular network. By tracking the user location, we localize the delivery of rekeying messages to the users who need them. This lessens the amount of traffic in wireless and wired intervals of the network. The group key management scheme uses a pre-positioned secret sharing scheme

关键词： Communication system security Land mobile radio cellular systems Wireless networks Multicast protocols Streaming media Cryptography Data security Access control computer networks Bandwidth

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Wyner-Ziv Video Coding using LDPC Codes

Wyner-Ziv Video Coding using LDPC Codes

引用

Proceedings of the Nordic Signal processing Symposium (NORSIG)

作者： Limin Liu Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Wyner-Ziv video coding aims to design encoders based on the Slepian-Wolf and Wyner-Ziv distributed source coding theorems. In this coding scenario, source statistics are exploited at the decoder so that it is feasible to design simplified encoders. The shift of the computational complexity from the encoder to the decoder is suitable for emerging mobile multimedia applications. Many channel coding techniques are used for the construction of distributed video coding systems. In this paper we present a Wyner-Ziv video coding design using low-density parity-check (LDPC) codes. We also present a refined side estimator to further improve the decoded video quality. Experimental results are presented to demonstrate the rate-distortion performance of the method

关键词： Video coding Parity check codes Decoding image coding Rate-distortion Source coding Statistical distributions Computational complexity Mobile computing Channel coding

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Co-ordinate mapping and analysis of vehicle trajectory for anomaly detection

Co-ordinate mapping and analysis of vehicle trajectory for a...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Satyam Srivastava Ka Ki Ng Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Behavioral information can be inferred from the trajectory of a rigid object. We propose a method to detect anomalies in the approach of a vehicle by observing the patterns in its velocity and describe methods for more effective analysis of the velocity trajectory. First we define a hypothetical co-ordinate system in which the axes are specified with respect to the road and distances are true ground measurements. In this co-ordinate system the (axial) velocity is a one dimensional quantity. We estimate the “normal” trends in the velocities by activity path modeling after scaling the velocities by the vehicle's average speed. We detect an anomaly if a vehicle's velocity does not fall in the available path models. Finally, we use the shape of the trajectory to determine turns and other significant maneuvers. We also detect an anomaly if a vehicle's velocity falls in a path model which is inconsistent with the shape of its trajectory. We observe that our proposed co-ordinate system also improves trajectory shape analysis by suppressing false turns.

关键词： Trajectory Vehicles Shape Roads Table lookup Real time systems Object detection

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FOUNDATIONAL METADATA FOR image BASED COGNITION

FOUNDATIONAL METADATA FOR IMAGE BASED COGNITION

引用

IEEE International Conference on image processing

作者： Gary L. Viviani Edward J. Delp Insitu (A Boeing Company) Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University

ISBN: (纸本)9781479957521

The need to create useful information from full motion video gathered by drones is a significant motivation for devising methods to approximate human cognitive behaviors. Additionally, the regulatory needs associated with drone systems has spawned the requirement to be able to confirm, or audit, the activities of such devices. A conditional approach, as compared with a generalized video processing environment, is presented that associates practical and realistic constraints to simplify the problem of finding useful information from video acquired by a drone into something that is tractable and consistent with real-world requirements. A primary contribution of this paper is to introduce the concept of continuous cognition from a theoretical perspective, followed by a practical application derived from an operational system.

关键词： Metadata Statistical Pattern Recognition Multi-dimensional probability density functions Orthonormal series approximations

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A fast suboptimal approach to error concealment in encoded video streams

A fast suboptimal approach to error concealment in encoded v...

引用

IEEE International Conference on image processing

作者： P. Salama N. Shroff E.J. Delp Video and Image Processing Laboratory VIPER School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In ATM networks cell loss or channel errors can cause data to be dropped in the channel. When digital video is transmitted over these networks one must be able to reconstruct the missing data so that the impact of these errors is minimized. In this paper we describe a Bayesian approach to concealing these errors by post-processing the received data. In a previous paper (see IEEE Proc. Int. Conf. on image processing p.49-52, 1996), each frame in the sequence was modeled as a Markov random field, and maximum a posteriori estimates of the missing macroblocks were obtained. However, the maximum a posteriori estimate is not unique, and the algorithm is also computationally intensive. In this paper we demonstrate, that by using median filtering we arrive at a suboptimal estimate. This will allow real-time nearly optimal reconstruction of the missing data.

关键词： image reconstruction Maximum a posteriori estimation Bayesian methods image processing Markov random fields Filtering

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User generated video annotation using Geo-tagged image databases

User generated video annotation using Geo-tagged image datab...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Golnaz Abdollahian Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In this paper we propose a system that annotates a user generated video based on the associated location metadata, by exploiting user-tagged image databases. An example of such a database is a photo sharing Web site such as Flickr where users upload their images and annotate them with various tags. The goal is to find the tags that have high probability of being relevant to the video without any complex object or action recognition being done to the video sequence. A video is first segmented into camera views and a set of keyframes are selected to represent the video. We will describe the concept of camera view as the basic element of user generated videos which has special properties suitable for the video annotation application. The keyframes are used to retrieve the most relevant images in the database. A ldquotag processingrdquo step is then used to tag the video.

关键词： image databases Video sharing Cameras Video sequences image segmentation Supervised learning Motion analysis image processing Laboratories Data engineering

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