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Fast action retrieval from videos via feature disaggregation

https://doi.org/10.1016/j.cviu.2016.09.009

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_11openalex-snapshot

Improving the Fisher Kernel for Large-Scale Image Classification

inferredcites →https://doi.org/10.1007/s11263-005-1838-7openalex-snapshot

On Space-Time Interest Points

inferredcites →https://doi.org/10.1016/j.cviu.2014.03.002openalex-snapshot

Statistical quantization for similarity search

inferredcites →https://doi.org/10.1016/j.cviu.2014.04.007openalex-snapshot

Quadra-embedding: Binary code embedding with low quantization error

inferredcites →https://doi.org/10.1023/a:1011139631724openalex-snapshot

Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

inferredcites →https://doi.org/10.1109/cvpr.2007.383266openalex-snapshot

Fisher Kernels on Visual Vocabularies for Image Categorization

inferredcites →https://doi.org/10.1109/cvpr.2009.5206557openalex-snapshot

Actions in context

inferredcites →https://doi.org/10.1109/cvpr.2010.5540009openalex-snapshot

Large-scale image retrieval with compressed Fisher vectors

inferredcites →https://doi.org/10.1109/cvpr.2010.5540039openalex-snapshot

Aggregating local descriptors into a compact image representation

inferredcites →https://doi.org/10.1109/cvpr.2011.5995407openalex-snapshot

Action recognition by dense trajectories

inferredcites →https://doi.org/10.1109/cvpr.2011.5995432openalex-snapshot

Iterative quantization: A procrustean approach to learning binary codes

inferredcites →https://doi.org/10.1109/cvpr.2011.5995504openalex-snapshot

High-dimensional signature compression for large-scale image classification

inferredcites →https://doi.org/10.1109/cvpr.2012.6247912openalex-snapshot

Supervised hashing with kernels

inferredcites →https://doi.org/10.1109/cvpr.2012.6248024openalex-snapshot

Spherical hashing

inferredcites →https://doi.org/10.1109/cvpr.2013.378openalex-snapshot

K-Means Hashing: An Affinity-Preserving Quantization Method for Learning Binary Compact Codes

inferredcites →https://doi.org/10.1109/cvpr.2013.69openalex-snapshot

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections

inferredcites →https://doi.org/10.1109/cvpr.2014.100openalex-snapshot

Action Localization with Tubelets from Motion

inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot

Large-Scale Video Classification with Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2015.7298598openalex-snapshot

Supervised Discrete Hashing

inferredcites →https://doi.org/10.1109/cvpr.2015.7298713openalex-snapshot

Learning semantic relationships for better action retrieval in images

inferredcites →https://doi.org/10.1109/cvpr.2015.7298954openalex-snapshot

Sparse projections for high-dimensional binary codes

inferredcites →https://doi.org/10.1109/cvpr31182.2015openalex-snapshot

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

inferredcites →https://doi.org/10.1109/iccv.2011.6126543openalex-snapshot

HMDB: A large video database for human motion recognition

inferredcites →https://doi.org/10.1109/iccv.2013.317openalex-snapshot

A General Two-Step Approach to Learning-Based Hashing

inferredcites →https://doi.org/10.1109/iccv.2013.374openalex-snapshot

A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data

inferredcites →https://doi.org/10.1109/iccv.2013.441openalex-snapshot

Action Recognition with Improved Trajectories

inferredcites →https://doi.org/10.1109/iccv.2015.323openalex-snapshot

Projection Bank: From High-Dimensional Data to Medium-Length Binary Codes

inferredcites →https://doi.org/10.1109/iccv.2015.375openalex-snapshot

Action Localization in Videos through Context Walk

inferredcites →https://doi.org/10.1109/iccv33071.2015openalex-snapshot

2015 IEEE International Conference on Computer Vision (ICCV)

inferredcites →https://doi.org/10.1109/iccv37128.2017openalex-snapshot

2017 IEEE International Conference on Computer Vision (ICCV)

inferredcites →https://doi.org/10.1109/tcsvt.2013.2276856openalex-snapshot

Detecting Human Action as the Spatio-Temporal Tube of Maximum Mutual Information

inferredcites →https://doi.org/10.1109/tcyb.2015.2399172openalex-snapshot

Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach

inferredcites →https://doi.org/10.1109/thms.2014.2362520openalex-snapshot

Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors

inferredcites →https://doi.org/10.1109/tip.2015.2390975openalex-snapshot

Multiview Alignment Hashing for Efficient Image Search

inferredcites →https://doi.org/10.1109/tip.2015.2508600openalex-snapshot

Compressive Sequential Learning for Action Similarity Labeling

inferredcites →https://doi.org/10.1109/tpami.2011.219openalex-snapshot

Kernelized Locality-Sensitive Hashing

inferredcites →https://doi.org/10.1109/tpami.2012.48openalex-snapshot

Semi-Supervised Hashing for Large-Scale Search

inferredcites →https://doi.org/10.1145/1015330.1015408openalex-snapshot

K -means clustering via principal component analysis

inferredcites →https://doi.org/10.1145/276698.276876openalex-snapshot

Approximate nearest neighbors

inferredcites →https://doi.org/10.1145/997817.997857openalex-snapshot

Locality-sensitive hashing scheme based on p-stable distributions

inferredcites →https://doi.org/10.48550/arxiv.1212.0402openalex-snapshot

UCF-101: A dataset of 101 human actions classes from videos in the wild

inferredcites →https://doi.org/10.5244/c.29.173openalex-snapshot

Local Feature Binary Coding for Approximate Nearest Neighbor Search

inferredcites →https://doi.org/10.5244/c.29.180openalex-snapshot

Fast Action Retrieval from Videos via Feature Disaggregation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4663643openalex-extracted

Visual-Semantics Embedding for Deep Hashing-Based Multi-Label Video Retrieval

inferred← citeshttps://doi.org/10.1007/978-3-030-01261-8_37openalex-snapshot

Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval

inferred← citeshttps://doi.org/10.1007/978-3-031-54318-0_28openalex-snapshot

Information Retrieval in XML Document: State of the Art

inferred← citeshttps://doi.org/10.1007/s00521-024-10370-4openalex-snapshot

A new bi-level deep human action representation structure based on the sequence of sub-actions

inferred← citeshttps://doi.org/10.1007/s11042-018-5835-6openalex-snapshot

Motion pattern based representation for improving human action retrieval

inferred← citeshttps://doi.org/10.1016/j.cviu.2017.08.011openalex-snapshot

mdBRIEF - a fast online-adaptable, distorted binary descriptor for real-time applications using calibrated wide-angle or fisheye cameras

inferred← citeshttps://doi.org/10.1016/j.patcog.2019.05.036openalex-snapshot

Consistency-Preserving deep hashing for fast person re-identification

inferred← citeshttps://doi.org/10.1109/access.2019.2905641openalex-snapshot

A Video Representation Method Based on Multi-View Structure Preserving Embedding for Action Retrieval

inferred← citeshttps://doi.org/10.1109/cist65886.2025.11224117openalex-snapshot

The Impact of Generative AI on Information Retrieval

inferred← citeshttps://doi.org/10.1109/cvpr.2017.117openalex-snapshot

Zero-Shot Action Recognition with Error-Correcting Output Codes

inferred← citeshttps://doi.org/10.1109/cvpr.2017.566openalex-snapshot

Fast Person Re-identification via Cross-Camera Semantic Binary Transformation

inferred← citeshttps://doi.org/10.1109/cvpr.2017.712openalex-snapshot

Binary Coding for Partial Action Analysis with Limited Observation Ratios

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00122openalex-snapshot

Searching for Actions on the Hyperbole

inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00315openalex-snapshot

Central Similarity Quantization for Efficient Image and Video Retrieval

inferred← citeshttps://doi.org/10.1109/iccke48569.2019.8965087openalex-snapshot

Eliminating the Repetitive Motions as a Preprocessing step for Fast Human Action Retrieval

inferred← citeshttps://doi.org/10.1109/iccvw.2019.00350openalex-snapshot

Embarrassingly Simple Binary Representation Learning

inferred← citeshttps://doi.org/10.1109/icicas51530.2020.00104openalex-snapshot

DCCH: Deep Continuous Center Hashing for Image Retrieval

inferred← citeshttps://doi.org/10.1109/tip.2020.3048680openalex-snapshot

Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval

inferred← citeshttps://doi.org/10.1109/tnnls.2023.3321148openalex-snapshot

Learnable Central Similarity Quantization for Efficient Image and Video Retrieval

inferred← citeshttps://doi.org/10.1142/s0218213018500082openalex-snapshot

Retrieving Human Action by Fusing the Motion Information of Interest Points

inferred← citeshttps://doi.org/10.1145/3343031.3350897openalex-snapshot

Generative Reconstructive Hashing for Incomplete Video Analysis

inferred← citeshttps://doi.org/10.1145/3460426.3463586openalex-snapshot

Image Retrieval by Hierarchy-aware Deep Hashing Based on Multi-task Learning

inferred← citeshttps://doi.org/10.1145/3652583.3658053openalex-snapshot

HashNeck is a Boosting Tool for Deep Learning to Hashing

inferred← citeshttps://doi.org/10.22266/ijies2022.1031.11openalex-snapshot

Deep Video Hashing Using 3DCNN with BERT

inferred← citeshttps://doi.org/10.32469/10355/93997openalex-snapshot

A system for large-scale image and video retrieval on everyday scenes

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