Unsupervised deep video hashing via balanced code for large-scale video retrieval
This paper proposes a deep hashing framework, namely, unsupervised deep video hashing
(UDVH), for large-scale video similarity search with the aim to learn compact yet effective …
(UDVH), for large-scale video similarity search with the aim to learn compact yet effective …
SSDH: Semi-supervised deep hashing for large scale image retrieval
Hashing methods have been widely used for efficient similarity retrieval on large scale
image database. Traditional hashing methods learn hash functions to generate binary codes …
image database. Traditional hashing methods learn hash functions to generate binary codes …
SCRATCH: A scalable discrete matrix factorization hashing framework for cross-modal retrieval
In this paper, we present a novel supervised cross-modal hashing framework, namely
Scalable disCRete mATrix faCtorization Hashing (SCRATCH). First, it utilizes collective …
Scalable disCRete mATrix faCtorization Hashing (SCRATCH). First, it utilizes collective …
Self-supervised video hashing via bidirectional transformers
Most existing unsupervised video hashing methods are built on unidirectional models with
less reliable training objectives, which underuse the correlations among frames and the …
less reliable training objectives, which underuse the correlations among frames and the …
Deep multiscale fusion hashing for cross-modal retrieval
Owing to the rapid development of deep learning and the high efficiency of hashing, hashing
methods based on deep learning models have been extensively adopted in the area of …
methods based on deep learning models have been extensively adopted in the area of …
Semantics-aware spatial-temporal binaries for cross-modal video retrieval
With the current exponential growth of video-based social networks, video retrieval using
natural language is receiving ever-increasing attention. Most existing approaches tackle this …
natural language is receiving ever-increasing attention. Most existing approaches tackle this …
Robust discrete code modeling for supervised hashing
Recent years have witnessed the promising efficacy and efficiency of hashing (also known
as binary code learning) for retrieving nearest neighbor in large-scale data collections …
as binary code learning) for retrieving nearest neighbor in large-scale data collections …
Efficient video grounding with which-where reading comprehension
Video grounding aims at localizing the temporal moment related to the given language
description, which is very helpful to many cross-modal content understanding applications …
description, which is very helpful to many cross-modal content understanding applications …
Neighborhood preserving hashing for scalable video retrieval
In this paper, we propose a Neighborhood Preserving Hashing (NPH) method for scalable
video retrieval in an unsupervised manner. Unlike most existing deep video hashing …
video retrieval in an unsupervised manner. Unlike most existing deep video hashing …
A review on robust video copy detection
The unprecedented escalation and proliferation of digital multimedia and Internet
technology have triggered the enormous copyright infringement issues and tampering of …
technology have triggered the enormous copyright infringement issues and tampering of …