Browse > Computer Vision > Video > Video Retrieval

Video Retrieval

17 papers with code · Computer Vision
Subtask of Video

The objective of video retrieval is as follows: given a text query and a pool of candidate videos, select the video which corresponds to the text query. Typically, the videos are returned as a ranked list of candidates and scored via document retrieval metrics.

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Greatest papers with code

Talking Face Generation by Adversarially Disentangled Audio-Visual Representation

20 Jul 2018Hangz-nju-cuhk/Talking-Face-Generation-DAVS

Talking face generation aims to synthesize a sequence of face images that correspond to a clip of speech.

TALKING FACE GENERATION VIDEO RETRIEVAL

Deep Hashing with Category Mask for Fast Video Retrieval

22 Dec 2017willard-yuan/hashing-baseline-for-image-retrieval

This paper proposes an end-to-end deep hashing framework with category mask for fast video retrieval.

CODE GENERATION VIDEO RETRIEVAL

ECO: Efficient Convolutional Network for Online Video Understanding

ECCV 2018 mzolfaghari/ECO-efficient-video-understanding

In this paper, we introduce a network architecture that takes long-term content into account and enables fast per-video processing at the same time.

#14 best model for Action Recognition In Videos on Something-Something V1 (using extra training data)

ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS VIDEO CAPTIONING VIDEO RETRIEVAL VIDEO UNDERSTANDING

Dual Encoding for Zero-Example Video Retrieval

CVPR 2019 danieljf24/dual_encoding

This paper attacks the challenging problem of zero-example video retrieval.

VIDEO RETRIEVAL

Learning a Text-Video Embedding from Incomplete and Heterogeneous Data

7 Apr 2018antoine77340/Mixture-of-Embedding-Experts

We evaluate our method on the task of video retrieval and report results for the MPII Movie Description and MSR-VTT datasets.

#2 best model for Video Retrieval on LSMDC (using extra training data)

VIDEO RETRIEVAL

Use What You Have: Video Retrieval Using Representations From Collaborative Experts

31 Jul 2019albanie/collaborative-experts

The rapid growth of video on the internet has made searching for video content using natural language queries a significant challenge.

VIDEO RETRIEVAL

Central Similarity Hashing for Efficient Image and Video Retrieval

1 Aug 2019yuanli2333/Hadamard-Matrix-for-hashing

In this work, we propose a new \emph{global} similarity metric, termed as \emph{central similarity}, with which the hash codes for similar data pairs are encouraged to approach a common center and those for dissimilar pairs to converge to different centers, to improve hash learning efficiency and retrieval accuracy.

VIDEO RETRIEVAL

Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval

ICMR 2018 niluthpol/multimodal_vtt

Constructing a joint representation invariant across different modalities (e. g., video, language) is of significant importance in many multimedia applications.

VIDEO RETRIEVAL

IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters

28 Mar 2019XinshaoAmosWang/Deep-Metric-Embedding

In this work, we study robust deep learning against abnormal training data from the perspective of example weighting built in empirical loss functions, i. e., gradient magnitude with respect to logits, an angle that is not thoroughly studied so far.

IMAGE CLASSIFICATION VIDEO RETRIEVAL

ViSiL: Fine-grained Spatio-Temporal Video Similarity Learning

ICCV 2019 MKLab-ITI/visil

Subsequently, the similarity matrix between all video frames is fed to a four-layer CNN, and then summarized using Chamfer Similarity (CS) into a video-to-video similarity score -- this avoids feature aggregation before the similarity calculation between videos and captures the temporal similarity patterns between matching frame sequences.

VIDEO RETRIEVAL VIDEO SIMILARITY