A study on various methods used for video summarization and moving object detection for video surveillance applications
A Senthil Murugan, K Suganya Devi… - Multimedia Tools and …, 2018 - Springer
With the advancement in digital video technology, video surveillance has been playing its
vital role for ensuring safety and security. The surveillance systems are deployed in wide …
vital role for ensuring safety and security. The surveillance systems are deployed in wide …
Unsupervised video summarization via relation-aware assignment learning
We address the problem of unsupervised video summarization that automatically selects key
video clips. Most state-of-the-art approaches suffer from two issues:(1) they model video …
video clips. Most state-of-the-art approaches suffer from two issues:(1) they model video …
Query-aware sparse coding for web multi-video summarization
Given the explosive growth of online videos, it is becoming increasingly important to relieve
the tedious work of browsing and managing the video content of interest. Video …
the tedious work of browsing and managing the video content of interest. Video …
Fine-grained land use classification at the city scale using ground-level images
Multimedia researchers have exploited large collections of community-contributed geo-
referenced images to better understand a particular image, such as its subject matter or …
referenced images to better understand a particular image, such as its subject matter or …
A comprehensive study of automatic video summarization techniques
D Gupta, A Sharma - Artificial Intelligence Review, 2023 - Springer
Video summarization deals with the generation of a condensed version of the original video
by including meaningful frames or segments while eliminating redundant information. The …
by including meaningful frames or segments while eliminating redundant information. The …
Multilevel model for video object segmentation based on supervision optimization
Y Chen, C Hao, AX Liu, E Wu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this work, we present a supervised object segmentation algorithm for unconstrained
video. Instead of arbitrarily picking a few frames for manual labeling, as in many existing …
video. Instead of arbitrarily picking a few frames for manual labeling, as in many existing …
DeepQAMVS: Query-aware hierarchical pointer networks for multi-video summarization
The recent growth of web video sharing platforms has increased the demand for systems
that can efficiently browse, retrieve and summarize video content. Query-aware multi-video …
that can efficiently browse, retrieve and summarize video content. Query-aware multi-video …
Latency-aware adaptive video summarization for mobile edge clouds
With the technological advances in wireless multimedia domain, these videos made by
mobile edge devices dominate network traffics. The video summarization technology …
mobile edge devices dominate network traffics. The video summarization technology …
Deepdive: A learning-based approach for virtual camera in immersive contents
A 360° video stream provide users a choice of viewing one's own point of interest inside the
immersive contents. Performing head or hand manipulations to view the interesting scene in …
immersive contents. Performing head or hand manipulations to view the interesting scene in …
Gps2vec: Pre-trained semantic embeddings for worldwide gps coordinates
GPS coordinates are fine-grained location indicators that are difficult to be effectively utilized
by classifiers in geo-aware applications. Previous GPS encoding methods concentrate on …
by classifiers in geo-aware applications. Previous GPS encoding methods concentrate on …