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Content Based Video Retrieval System for Distorted Video Queries

P. 99-107.
Boris Tseytlin, Makarov I.

We consider the task of content-based video retrieval (CBVR) given a query video, which is expected to match if it is a distorted short subsequence of a reference video from a database. In this paper, we present a CBVR system architecture that is both robust and scalable. We use a modified rHash frame fingerprint generation method. It is both, extremely robust to distortions and fast to compute. We utilize the Faiss library, developed by Facebook Research, to index fingerprint binary vectors. The VCDB dataset is used for benchmarking.

В книге

Под науч. редакцией: Alexander Shapoval, V. Popov, I. Makarov. Vol. 2795. CEUR Workshop Proceedings, 2020.