Results 221 to 230 of about 177,513 (261)

Blind detection of electronic disguised voice

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Since voice disguise has great negative impact on establishing authenticity of audio evidence in forensics, and has shown an increasing tendency in illegal applications, it is important to identify whether a suspected voice has been disguised or not. However, research on such detection has not been reported.
Haojun Wu, Yong Wang, Jiwu Huang
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Blind weave detection for woven fabrics

Pattern Analysis and Applications, 2014
For the purpose of textile quality assurance, an algorithmic framework for fully automatic detection of weave patterns in woven fabrics is presented. The proposed method is able to handle fabrics of any rotation, material, and binding. Periodicity features within highly resolved fabric images are found and structured in a compact yarn matrix ...
Dorian Schneider, Dorit Merhof
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A framework for optimal blind watermark detection

Proceedings of the 2001 workshop on Multimedia and security new challenges - MM&Sec '01, 2001
We propose a general framework for blind watermark detection. This framework contains a maximum-likelihood detector that utilizes the probability distribution of the original image. Other watermark detectors in literature are shown to be special cases of this framework.
Trista Pei-Chun Chen, Tsuhan Chen
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Blind Noise Level Detection

2012
In this paper we present a new fully automatic algorithm for blind noise level evaluation based on natural image statistics (NIS). Natural images are unprocessed reproductions of a natural scene observed by a human. During its evolution, the Human Visual System has been adjusted to the information encoded in natural images, making images interpreted ...
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Blind detection of multiple audio watermarks

Proceedings First International Conference on WEB Delivering of Music. WEDELMUSIC 2001, 2001
The paper presents the extension of an audio watermarking approach to the blind detection of multiple watermarks. The underlying statistical watermarking method working in the Fourier domain with different test functions is investigated. The extension of this semiprivate watermarking method to enable blind detection is presented.
Michael Victor Arnold, Zongwei Huang
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Ground and Floor Topography Detection for the Blind

Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science, 2017
This paper presents a system that helps the blind detect topography changes on the floor and the ground such as steps and other obstacles. A simple, efficient approach measures the distance from the user's head to the ground and detects changes that represent a step up or a step down.
Jahan Razavi, Ted Shinta
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Maximum-likelihood blind PAM detection

2012 IEEE International Conference on Communications (ICC), 2012
Blind sequence detection offers significant gains over conventional symbol-by-symbol detection when channel knowledge is not available at the receiver. However, maximum-likelihood (ML) blind sequence detection is often intractable due to exponential complexity in the sequence length. In this work, we develop a polynomial-time ML blind sequence detector
Dimitris S. Papailiopoulos, Georgina Abou Elkheir, George N. Karystinos   +2 more
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Blind MMSE-Constrained Multiuser Detection

IEEE Transactions on Vehicular Technology, 2008
In this paper, blind multiuser detection is studied for a direct-sequence (DS) code-division multiple access (CDMA) system with unknown multipath channels. The receiver is designed to follow a minimum mean-square-error (MMSE) form parameterized by a channel-like constraint vector, which is then optimized by the conventional constant modulus algorithm ...
Ping Liu 0003, Zhengyuan Xu
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Blind Change Detection for Audio Segmentation

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
Automatic segmentation of audio streams according to speaker identities and environmental and channel conditions has become an important preprocessing step for speech recognition, speaker recognition, and audio data mining. In most previous approaches, the automatic segmentation was evaluated in terms of the performance of the final system, like the ...
Mohamed Kamal Omar, Upendra V. Chaudhari, Ganesh N. Ramaswamy   +2 more
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Blind Detection Based on Color SIFT

2020
Blind detection algorithm based on keypoints has a small amount of computation and faster speed, however, its accuracy is lower, comparing with blind detection based on block. One factor is that keypoints are extracted in a grayscale image, which leads to loss of the color information of the image.
Tingge Zhu, Jiangbin Zheng 0001, Mingchen Feng, Jinchang Ren, Weihua Liu   +4 more
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