A Quick Video Searching Approach from a Continuous Stream using Audio Fingerprint

Hossain, Morsalin; Hoque, Md Enamul; Zaman, Tousif; Asif-Ur-Rahman, Md.

doi:10.1109/ctceec.2017.8454965

2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) 2017

DOI: 10.1109/ctceec.2017.8454965

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A Quick Video Searching Approach from a Continuous Stream using Audio Fingerprint

Morsalin Hossain

Md Enamul Hoque

Tousif Zaman

et al.

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2020

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“…Introduction: The rapid development of the internet and information technology has lead to a sharp increase in media data. How to effectively find and obtain target information in massive data becomes a hot issue [1]. Traditional information retrieval is mostly based on text annotation [2], but these methods are computationally expensive and contain limited information of audio characteristics.…”

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confidence: 99%

Robust audio retrieval method based on anti‐noise fingerprinting and segmental matching

Zhang

Wang

et al. 2020

Electron. lett.

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For classical Philips audio retrieval, the short duration and the long silent period in inserted template audio make a major challenge to the robustness in actual environments. In this study, a novel audio retrieval method is proposed to handle the challenge by modifying both the fingerprinting stage and the matching stage. While extracting audio fingerprints, the silent segments are firstly detected. Then, a specific fingerprint is arranged to the silent segments for distinguishment. In the matching stage, a window-by-window search is performed to figure out the inserted audio templates. Moreover, the searching window is divided into several segments for precise comparison between the template audio and the test audio. A testing dataset is made by randomly arranging the duration of the inserted template audio to be from 3 to 5 s. Experiment results show that mean average precision and recall are significantly improved by the proposed method.

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mentioning

confidence: 99%

Robust audio retrieval method based on anti‐noise fingerprinting and segmental matching

Zhang

Wang

et al. 2020

Electron. lett.

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A Quick Video Searching Approach from a Continuous Stream using Audio Fingerprint

Cited by 1 publication

References 2 publications

Robust audio retrieval method based on anti‐noise fingerprinting and segmental matching

Robust audio retrieval method based on anti‐noise fingerprinting and segmental matching

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