Development of an Effective Bootleg Videos Retrieval System as a Part of Content-Based Video Search Engine
Adly, Ahmad Sedky; Islam Hegazy; Taha Ibrahim Elarif; Abdelwahab, M. S.;
Abstract
Many research studies in content-based video search engines are concerned with content-based video queries retrieval where a query by example is sent to retrieve a list of visually similar videos. However, minor research is concerned with indexing and searching public video streaming services such as YouTube, where there is a dilemma for misusing copyrighted video materials and detecting bootleg manipulated videos before being uploaded. In this paper, a novel and effective technique for a content-based video search engine with effective detection of bootleg videos is evaluated on a large-scale video index dataset of 1088 video records. A novel feature vector is introduced using video shots temporal and key-object/concept features applying combinational-based matching algorithms, using various similarity metrics for evaluation. The retrieval system was evaluated using more than 200 non-semantic-based video queries evaluating both normal and bootleg videos, with retrieval precision for normal videos of 97.9% and retrieval recall of 100% combined by the F1 measure to be 98.3%. Bootleg videos retrieval precision scored 99.2% and retrieval recall was of 96.7% combined by the F1 measure to be 97.9%. This allows making a conclusion that this technique can help in enhancing both traditional text-based search engines and commonly used bootleg detection techniques.
Other data
Title | Development of an Effective Bootleg Videos Retrieval System as a Part of Content-Based Video Search Engine | Authors | Adly, Ahmad Sedky; Islam Hegazy ; Taha Ibrahim Elarif ; Abdelwahab, M. S. | Keywords | Content-based video search engine;Bootleg video detection;Content-based video indexing and retrieval;Bootleg videos;CBVSE;CBVIR;Feature extraction;Search engine;Video search;Video retrieval | Issue Date | 30-Jun-2022 | Journal | International Journal of Computing | Volume | 21 | Issue | 2 | Start page | 214 | End page | 227 | ISSN | 2312-5381 1727-6209 |
DOI | 10.47839/ijc.21.2.2590 | Scopus ID | 2-s2.0-85133501556 |
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