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CBIR-ACHS: compressed domain content-based image retrieval through auto-correloblock in HEVC standard
Because the complete decompression of images encoded through the HEVC standard is time-consuming, image retrieval encoded through the HEVC standard...
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A novel algorithm for human action recognition in compressed domain using attention-guided approach
Herein, a novel methodology is proposed for real-time human activity detection and recognition in a compressed domain of videos using motion vectors...
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RI-CDVS: Robust and Imperceptible Compressed Domain Video Steganography Using H.265 Codec
The development of steganography methods has raised growing worries about steganography abuse. As the significant demand for digital video processing...
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Adversarial Face Example Generation in AMBTC Compressed Domain
In recent years, adversarial examples have played a significant role in protecting image privacy and improving the robustness of deep learning...
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A novel video saliency estimation method in the compressed domain
This paper presents a novel compressed domain saliency estimation method based on analyzing block motion vectors and transform residuals extracted...
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Reference picture selection scheme for robust HEVC video transmission using compressed domain saliency map
The high level of compression achieved by high efficiency video coding (HEVC) helps reduce network traffic loads and mitigate data rate requirements....
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Violence detection in compressed video
Online monitoring of public places could prevent the occurrence of violent actions, while the efficiency of utilized methods plays a key role in...
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A Key Frame Extraction Algorithm for Physical Education Teaching Video Based on Compressed Domain
In order to solve the problem of low accuracy and detection rate of video keyframe extraction in existing methods, a compressed domain based keyframe...
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DCT-CompSegNet: fast layout segmentation in DCT compressed JPEG document images using deep feature learning
The problem of layout segmentation is still very challenging in document images like newspapers, magazines, and research articles, that have both...
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Visual image encryption based on compressed sensing and Cycle-GAN
At present, most image encryption schemes directly change plaintext images into ciphertext images without visual significance, and such ciphertext...
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Vision Based Flame Detection Using Compressed Domain Motion Prediction and Multi-Feature Fusion
Flame detection is an important capability for intelligent robot perception in unknown environments, which is essential for responding to devastating...
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CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents Using Deep Feature Learning from JPEG Coefficients
Automatic localization of text-lines in handwritten documents is still an open and challenging research problem. Various writing issues such as...
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Local Compressed Video Stream Learning for Generic Event Boundary Detection
Generic event boundary detection aims to localize the generic, taxonomy-free event boundaries that segment videos into chunks. Existing methods...
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Multi-operator image retargeting in compressed domain by preserving aspect ratio of important contents
Content-aware image retargeting have received extensively research attentions. However, most of exiting retargeting approaches perform resizing on...
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Compressed domain video zoom motion analysis utilizing CURL
This paper explores the application of the concept of CURL borrowed from vector calculus to the zoom motion detection and classification problems....
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Sub-Nyquist sampling-based wideband spectrum sensing: a compressed power spectrum estimation approach
In this paper, we introduce a sub-Nyquist sampling-based receiver architecture and method for wideband spectrum sensing. Instead of recovering the...
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DWT-CompCNN: deep image classification network for high throughput JPEG 2000 compressed documents
For any digital application with document images such as retrieval, the classification of document images becomes an essential stage. Conventionally...
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F2D-SIFPNet: a frequency 2D Slow-I-Fast-P network for faster compressed video action recognition
Recent video action recognition methods directly use RGB pixels in the compressed domain. The cumbersome decoding process of traditional methods is...
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Towards Compressed Permutation Oracles
Compressed oracles (Zhandry, Crypto 2019) are a powerful technique to reason about quantum random oracles, enabling a sort of lazy sampling in the...
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Novel DCT and DST based video steganography algorithms over non-dynamic region in compressed domain: a comparative analysis
The proposed research work presents a comparative analysis of Discrete Cosine Transform (DCT) and Discrete Sine Transform (DST) based video...
