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Learning optimal deep prototypes for video retrieval systems with hybrid SVM-softmax layer
The research focuses on optimizing training time for video retrieval by producing optimized prototypes for a hybrid SVM-softmax regression...
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Multimodal video retrieval with CLIP: a user study
Recent machine learning advances demonstrate the effectiveness of zero-shot models trained on large amounts of data collected from the internet....
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Attention-based deep supervised hashing for near duplicate video retrieval
With the explosive growth of video data on the Internet, near duplicate video retrieval (NDVR) has become an important and challenging issue in the...
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Particle swarm optimized deep spatio-temporal features for efficient video retrieval
In content-based video retrieval, the phases of video frame selection and 3-dimensional feature extraction are especially crucial. These stages...
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Interactive video retrieval evaluation at a distance: comparing sixteen interactive video search systems in a remote setting at the 10th Video Browser Showdown
The Video Browser Showdown addresses difficult video search challenges through an annual interactive evaluation campaign attracting research teams...
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Dialogue-to-Video Retrieval
Recent years have witnessed an increasing amount of dialogue/conversation on the web especially on social media. That inspires the development of...
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An intelligent surgical video retrieval for computer vision enhancement in medical diagnosis using deep learning techniques
This paper addresses the challenge of efficiently retrieving surgical videos from large databases for computer vision enhancement in medical...
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Content based video retrieval using dynamic textures
In recent days, design of smart city applications is attracting several researchers offering improvised services to citizens through efficient...
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Content based video retrieval system using two stream convolutional neural network
Nowadays capturing video through mobile phones, digital cameras and uploading it in social media is a trend. These videos do not have semantic tags....
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Video–text retrieval via multi-modal masked transformer and adaptive attribute-aware graph convolutional network
Despite significant advancements in deep learning-based video–text retrieval methods, three challenges persist: the alignment of fine-grained...
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Conditional deep clustering based transformed spatio-temporal features and fused distance for efficient video retrieval
Key frame extraction is essential for video retrieval because it reduces the quantity of data needed to be processed. However, current video...
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A multi-modal lecture video indexing and retrieval framework with multi-scale residual attention network and multi-similarity computation
Due to technological development, the mass production of video and its storage on the Internet has increased. This made a huge amount of videos to be...
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Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11th VBS
This paper presents findings of the eleventh Video Browser Showdown competition, where sixteen teams competed in known-item and ad-hoc search tasks....
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Optimizing the Interactive Video Retrieval Tool Vibro for the Video Browser Showdown 2024
Vibro (Video Browser) is an interactive video retrieval system and the winner of the Video Browser Showdown 2022 and 2023. This paper gives an...
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TalkSee: Interactive Video Retrieval Engine Using Large Language Model
The current interactive retrieval system mostly relies on collecting user’s positive and negative feedback and updating the retrieval content based...
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Learning clustered deep spatio-temporal prototypes using softmax regression for video information systems
For solving the data imbalance, dimensionality reduction, and optimizing the training time research problem, this research developed a method for...
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DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
In this paper, we address the problem of high performance and computationally efficient content-based video retrieval in large-scale datasets....
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STHARNet: spatio-temporal human action recognition network in content based video retrieval
Most of the needed information is easily accessible from our fingertips using the internet. The search procedure via the internet is a tough task...
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Advances in information retrieval collection on the European conference on information retrieval 2023
This paper introduces the Collection on ECIR 2023. The 45th European Conference on Information Retrieval (ECIR 2023) was held in Dublin, Ireland,...
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Multi-query Video Retrieval
Retrieving target videos based on text descriptions is a task of great practical value and has received increasing attention over the past few years....