Central similarity quantization for efficient image and video retrieval
Existing data-dependent hashing methods usually learn hash functions from pairwise or
triplet data relationships, which only capture the data similarity locally, and often suffer from …
triplet data relationships, which only capture the data similarity locally, and often suffer from …
Deep multi-scale pyramidal features network for supervised video summarization
Video data are witnessing exponential growth, and extracting summarized information is
challenging. It is always necessary to reduce the load of video traffic for the efficient video …
challenging. It is always necessary to reduce the load of video traffic for the efficient video …
Video summarization using deep learning techniques: a detailed analysis and investigation
One of the critical multimedia analysis problems in today's digital world is video
summarization (VS). Many VS methods have been suggested based on deep learning …
summarization (VS). Many VS methods have been suggested based on deep learning …
Video summarization through reinforcement learning with a 3D spatio-temporal u-net
Intelligent video summarization algorithms allow to quickly convey the most relevant
information in videos through the identification of the most essential and explanatory content …
information in videos through the identification of the most essential and explanatory content …
Learning multiscale hierarchical attention for video summarization
In this paper, we propose a multiscale hierarchical attention approach for supervised video
summarization. Different from most existing supervised methods which employ bidirectional …
summarization. Different from most existing supervised methods which employ bidirectional …
Tr-detr: Task-reciprocal transformer for joint moment retrieval and highlight detection
Video moment retrieval (MR) and highlight detection (HD) based on natural language
queries are two highly related tasks, which aim to obtain relevant moments within videos …
queries are two highly related tasks, which aim to obtain relevant moments within videos …
Video summarization with a convolutional attentive adversarial network
With the explosive growth of video data, video summarization, which attempts to seek the
minimum subset of frames while still conveying the main story, has become one of the …
minimum subset of frames while still conveying the main story, has become one of the …
Attention-guided multi-granularity fusion model for video summarization
Y Zhang, Y Liu, C Wu - Expert Systems with Applications, 2024 - Elsevier
Video summarization has attracted extensive attention benefiting from its valuable capability
to facilitate video browsing. While achieving notable improvement, existing methods still fail …
to facilitate video browsing. While achieving notable improvement, existing methods still fail …
Graph attention networks adjusted bi-LSTM for video summarization
R Zhong, R Wang, Y Zou, Z Hong… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
The high redundancy among keyframes is a critical issue for the prior summarizing methods
in dealing with user-created videos. To address the critical issue, we present a Graph …
in dealing with user-created videos. To address the critical issue, we present a Graph …
AVN: An adversarial variation network model for handwritten signature verification
H Li, P Wei, P Hu - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
Handwritten signature verification is a crucial yet challenging problem. While previous
studies have made great progress in this problem, they learn signature features passively …
studies have made great progress in this problem, they learn signature features passively …