| _ | movie | _ |
|---|
| 3D facial tracking from corrupted | movie | sequences |
| A2A: Attention to Attention Reasoning for | movie | Question Answering |
| Abstracting Digital | movie | s Automatically |
| Adaptive Context Reading Network for | movie | Scene Detection |
| Adaptive Speaker Identification with Audio-Visual Cues for | movie | Content Analysis |
| Adversarial Multimodal Network for | movie | Story Question Answering |
| Affective Audio-Visual Words and Latent Topic Driving Model for Realizing | movie | Affective Scene Classification |
| Affective Recommendation of | movie | s Based on Selected Connotative Features |
| Aligning Books and | movie | s: Towards Story-Like Visual Explanations by Watching Movies and Reading Books |
| Aligning Books and | movie | s: Towards Story-Like Visual Explanations by Watching Movies and Reading Books |
| Aligning | movie | s with scripts by exploiting temporal ordering constraints |
| Alternate Structural-Textural Video Inpainting for Spot Defects Correction in | movie | s |
| Assignment of | movie | s to Heterogeneous Video Servers |
| AttendAffectNet: Self-Attention based Networks for Predicting Affective Responses from | movie | s |
| Attention-Based Unsupervised Adversarial Model for | movie | Review Spam Detection, An |
| Audio-Assisted | movie | Dialogue Detection |
| Audio-visual saliency prediction for | movie | viewing in immersive environments: Dataset and benchmarks |
| Audiotory | movie | Summarization by Detecting Scene Changes and Sound Events |
| AutoAD II: The Sequel - Who, When, and What in | movie | Audio Description |
| AutoAD: | movie | Description in Context |
| Automated High-Level | movie | Segmentation for Advanced Video-Retrieval Systems |
| Automated location matching in | movie | s |
| Automated Scene Matching in | movie | s |
| Automatic retrieval of visual continuity errors in | movie | s |
| background modeling method by texture replacement and mapping with application to content-based | movie | coding, A |
| Background removal system for object | movie | s |
| Bayesian framework for recursive object removal in | movie | post-production, A |
| Benchmarking Campaign for the Multimodal Detection of Violent Scenes in | movie | s, A |
| Cast2Face: Assigning Character Names Onto Faces in | movie | With Actor-Character Correspondence |
| Character Detection in Animated | movie | s Using Multi-Style Adaptation and Visual Attention |
| Classifying audio of | movie | s by a multi-expert system |
| close-up detection method for | movie | s, A |
| Clustering Faces in | movie | s Using an Automatically Constructed Social Network |
| Codestream Domain Scrambling of Moving Objects Based on DCT Sign-only Correlation for Motion JPEG | movie | s |
| Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in | movie | s |
| Collecting Large, Richly Annotated Facial-Expression Databases from | movie | s |
| Color Me Good: Branding in the Coloring Style of | movie | Posters |
| color-action perceptual approach to the classification of animated | movie | s, A |
| Computer Vision in the | movie | s: From the Lab to the Big Screen |
| Condensed | movie | s: Story Based Retrieval with Contextual Embeddings |
| Connotative Space for Supporting | movie | Affective Recommendation, A |
| Constructing Point Clouds from Underwater Stereo | movie | s |
| Content-Based | movie | Analysis and Indexing Based on Audio-Visual Cues |
| Content-Based Object | movie | Retrieval by Use of Relevance Feedback |
| Content-Based Prediction of | movie | Style, Aesthetics, and Affect: Data Set and Baseline Experiments |
| Could you guess an interesting | movie | from the posters?: An evaluation of vision-based features on movie poster database |
| Could you guess an interesting | movie | from the posters?: An evaluation of vision-based features on movie poster database |
| Coupling parareal and adaptive control in optical flow estimation with application in | movie | 's restoration |
| CRAM: Compact representation of actions in | movie | s |
| dataset for | movie | Description, A |
| Depth-Guided Sparse Structure-from-Motion for | movie | s and TV Shows |
| Detecting and Naming Actors in | movie | s Using Generative Appearance Models |
| Detection of stuck-to-background objects in converted S3D | movie | s |
| Dialogue Sequence Detection in | movie | s |
| Digital Clones and Virtual Celebrities: Facial Tracking, Gesture Recognition and Animation for the | movie | Industry |
| Dynamic wavelet feature-based watermarking for copyright tracking in digital | movie | distribution systems |
| Early Success Prediction of Indian | movie | s Using Subtitles: A Document Vector Approach |
| Efficient clustering of face sequences with application to character-based | movie | browsing |
| Efficient model-based linear head motion recovery from | movie | s |
| Efficient | movie | Scene Detection using State-Space Transformers |
| Efficient Shot Boundary Detection for Action | movie | s Using Blockwise Motion-Based Features |
| Emotional identity of | movie | s |
| Encoder-Decoder Texture Replacement Method With Application to Content-Based | movie | Coding, An |
| End-to-End Face Detection and Cast Grouping in | movie | s Using Erdos-Renyi Clustering |
| Estimating Audience Engagement to Predict | movie | Ratings |
| Estimation of Interpersonal Relationships in | movie | s |
| Exploring Large | movie | Collections: Comparing Visual Berrypicking and Traditional Browsing |
| Face Recognition in | movie | Trailers via Mean Sequence Sparse Representation-Based Classification |
| Factorized Variational Autoencoders for Modeling Audience Reactions to | movie | s |
| Fast removal of line scratches in old | movie | s |
| Fast restoration of colour | movie | scratches |
| Finding Actors and Actions in | movie | s |
| From Optical Flow to Tracking Objects on | movie | Videos |
| fusion-based approach to digital | movie | restoration, A |
| Fuzzy Color-Based Approach for Understanding Animated | movie | s Content in the Indexing Task, A |
| GAIM: Graph-aware Feature Interactional Model for Spam | movie | Review Detection |
| Godfather vs. Chaos: Comparing Linguistic Analysis Based on On-line Knowledge Sources and Bags-of-N-Grams for | movie | Review Valence Estimation, The |
| Going to the | movie | s: Lessons from the Film Industry for 3D Libraries |
| Graph Wasserstein Correlation Analysis for | movie | Retrieval |
| Graph-Based Framework to Bridge | movie | s and Synopses, A |
| hierarchical framework for | movie | content analysis: Let computers watch films like humans, A |
| Hierarchical Self-supervised Representation Learning for | movie | Understanding |
| HMM-Based Segmentation Method for Traffic Monitoring | movie | s, An |
| Holistic Multi-Modal Memory Network for | movie | Question Answering |
| Horror | movie | scene recognition based on emotional perception |
| How Do | movie | Viewers Perceive Scene Structure from Dynamic Cues |
| How do you store a digital | movie | for 100 years? |
| How You Feelin'? Learning Emotions and Mental States in | movie | Scenes |
| IM(S)2: Interactive | movie | summarization system |
| Images as Embedded Maps and Minimal Surfaces: | movie | s, Color, Texture, and Volumetric Medical Images |
| Images as Embedding Maps and Minimal Surfaces: | movie | s, Color, and Volumetric Medical Images |
| immersive telepresence system with a locomotion interface using high-resolution omnidirectional | movie | s, An |
| Implementing a Commercial-Strength Parallel Hybrid | movie | Recommendation Engine |
| Indian | movie | Face Database: A benchmark for face recognition under wide variations |
| Innovative Model of Tempo and Its Application in Action Scene Detection for | movie | Analysis, An |
| Intro and Recap Detection for | movie | s and TV Series |
| Key-Places Detection and Clustering in | movie | s Using Latent Aspects |
| Learning a Contextual Multi-Thread Model for | movie | /TV Scene Segmentation |
| Learning and Fusing Multiple User Interest Representations for Micro-Video and | movie | Recommendations |
| Learning Defects in Old | movie | s from Manually Assisted Restoration |
| Learning Interactions and Relationships Between | movie | Characters |
| Learning realistic human actions from | movie | s |
| Learning Relations among | movie | Characters: A Social Network Perspective |
| Learning to Cut by Watching | movie | s |
| Learning to Dub | movie | s via Hierarchical Prosody Models |
| Learning Trailer Moments in Full-length | movie | s with Co-contrastive Attention |
| LEMMS: Label Estimation of Multi-feature | movie | Segments |
| Local-to-Global Approach to Multi-Modal | movie | Scene Segmentation, A |
| Long | movie | Clip Classification with State-Space Video Models |
| Long-range Multimodal Pretraining for | movie | Understanding |
| Long-Short Story of | movie | Description, The |
| MA14KD: | movie | Attraction 14K Dataset |
| MAD: A Scalable Dataset for Language Grounding in Videos from | movie | Audio Descriptions |
| Mining visual actions from | movie | s |
| MMPosE: | movie | -Induced Multi-Label Positive Emotion Classification Through EEG Signals |
| Mnd: A New Dataset and Benchmark of | movie | Scenes Classified by Their Narrative Function |
| Modeling of 2D+1 texture | movie | s for video coding |
| Morphological, Affine, and Galilean Invariant Scale-Space for | movie | s, A |
| movie | and Video Scale-Time Equalization Application to Flicker Reduction |
| movie | Classifier Based on Visual Features, A |
| movie | Content Analysis, Indexing and Skimming Via Multimodal Information |
| movie | Denoising by Average of Warped Lines |
| movie | Description |
| movie | dimensionalization via sparse user annotations |
| movie | fill in the blank by joint learning from video and text with adaptive temporal attention |
| movie | genre classification by exploiting audio-visual features of previews |
| movie | Genre Classification by Exploiting MEG Brain Signals |
| movie | Genre Classification by Language Augmentation and Shot Sampling |
| movie | Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences |
| movie | Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences |
| movie | Map for Virtual Exploration in a City |
| movie | Question Answering via Textual Memory and Plot Graph |
| movie | Recommendation via BLSTM |
| movie | scene segmentation using background information |
| movie | segmentation into scenes and chapters using locally weighted bag of visual words |
| movie | summarization based on audiovisual saliency detection |
| movie | , Video Recommender Systems, Personalization, Video on Demand |
| movie | /Script: Alignment and Parsing of Video and Text Transcription |
| movie | CLIP: Visual Scene Recognition in Movies |
| movie | net: A Holistic Dataset for Movie Understanding |
| movie | QA: Understanding Stories in Movies through Question-Answering |
| movie | s tags extraction using deep learning |
| movie | s2Scenes: Using Movie Metadata to Learn Scene Representation |
| movie | S: indexing moving objects by shooting index images |
| MR Simulation for Re-wallpapering a Room in a Free-Hand | movie | |
| Multi-modality | movie | scene detection using Kernel Canonical Correlation Analysis |
| Multi-view representation and synthesis for 3d object | movie | |
| Multimodal Deep Models for Predicting Affective Responses Evoked by | movie | s |
| Multimodal Person Identification in | movie | s |
| Multimodal Saliency and Fusion for | movie | Summarization Based on Aural, Visual, and Textual Attention |
| Multimodal Stereoscopic | movie | Summarization Conforming to Narrative Characteristics |
| Multiple-Server | movie | -Retrieval Strategies for Distributed Multimedia Applications: A Play-While-Retrieve Approach |
| Multiscale analysis of | movie | s for depth recovery |
| mutual information based face clustering algorithm for | movie | content analysis, A |
| Naturalistic Open Source | movie | for Optical Flow Evaluation, A |
| New Image Segmentation Method for Removing Background of Object | movie | s by Learning Shape Priors, A |
| NoiseFlow: Learning Optical Flow from Low SNR Cryo-EM | movie | |
| Nonlinear interpolators for old | movie | restoration |
| Nonlocal Image and | movie | Denoising |
| Nystrom Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for | movie | Scene Detection |
| Offline automatic actor tracking in a | movie | |
| On Affine Invariant Clustering and Automatic Cast Listing in | movie | s |
| On evaluating face tracks in | movie | s |
| On the preview of digital | movie | s |
| Panoramic | movie | Generation Using an Omnidirectional Multi-camera System for Telepresence |
| Path to Path-Traced | movie | s, The |
| Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral | movie | s |
| Phonovibrography: Mapping High-Speed | movie | s of Vocal Fold Vibrations Into 2-D Diagrams for Visualizing and Analyzing the Underlying Laryngeal Dynamics |
| Plots to Previews: Towards Automatic | movie | Preview Retrieval using Publicly Available Meta-data |
| Pose Estimation and Segmentation of Multiple People in Stereoscopic | movie | s |
| Pose Estimation and Segmentation of People in 3D | movie | s |
| Predicting audio-visual salient events based on visual, audio and text modalities for | movie | summarization |
| Predicting | movie | ratings from audience behaviors |
| Predicting | movie | Trailer Viewer's Like/Dislike via Learned Shot Editing Patterns |
| Progressive Attention Memory Network for | movie | Story Question Answering |
| Read-Write Memory Network for | movie | Story Understanding, A |
| Real-Time | movie | -Induced Discrete Emotion Recognition from EEG Signals |
| Recognizing Induced Emotions of | movie | Audiences from Multimodal Information |
| Reconstruction of | movie | s of Facial Expressions |
| Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy | movie | s |
| Recurring Element Detection in | movie | s |
| Relative Research on Psychological Character and Plot Design Preference for Audiences of VR | movie | s |
| Retrieving actions in | movie | s |
| Robust Character Labeling in | movie | Videos: Data Resources and Self-Supervised Feature Adaptation |
| Robust Face-Name Graph Matching for | movie | Character Identification |
| robust video scene extraction approach to | movie | content abstraction, A |
| Scene change detecting method for video and | movie | |
| Scene detection in Hollywood | movie | s and TV shows |
| Scene-Based | movie | Summarization Via Role-Community Networks |
| Script-to- | movie | : A Computational Framework for Story Movie Composition |
| Script-to- | movie | : A Computational Framework for Story Movie Composition |
| Semantic classification of | movie | scenes using finite state machines |
| Shot classification for action | movie | s based on motion characteristics |
| Shot Scale Analysis in | movie | s by Convolutional Neural Networks |
| Shot-Based Hybrid Fusion for | movie | Genre Classification |
| Should a | movie | have two different soundtracks for its stereoscopic and non-stereoscopic versions? A study on the front/rear balance |
| Simultaneous Multi-Frame Subpixel Boundary Definition using Toboggan-Based Intelligent Scissors for Image and | movie | Editing |
| Social-Aware | movie | Recommendation via Multimodal Network Learning |
| Spatio-Temporal Identity Verification Method for Person-Action Instance Search in | movie | s, A |
| SRN: The | movie | Character Relationship Analysis via Social Network |
| Structured representation and automatic indexing of | movie | information content |
| Subtitle-free | movie | to Script Alignment |
| Summarization, | movie | s, Script Based, Structured Videos, Presentations |
| System and method for generating and playback of three-dimensional | movie | s |
| Three-Dimensional Target Geometry and Target Motion Estimation Method Using Multistatic ISAR | movie | s and Its Performance |
| Toward Haptic Cinematography: Enhancing | movie | Experiences with Camera-Based Haptic Effects |
| Toward Hardware Building Blocks for Software-Only Real-Time Video Processing: The | movie | Approach |
| Toward view-invariant representations of object structure learned using object constancy cues in natural | movie | s |
| Tracking Articulators in X-ray | movie | s of the Vocal Tract |
| Tracking the Translational and Rotational Movement of the Ball Using High-Speed Camera | movie | s |
| Unsupervised Discovery of Character Dictionaries in Animation | movie | s |
| Using context saliency for | movie | shot classification |
| Using visual features based on MPEG-7 and deep learning for | movie | recommendation |
| Utilizing affective analysis for efficient | movie | browsing |
| Video Question Answering, | movie | s, Spatio-Temporal, Query, VQA |
| Video Representation Fusion Network For Multi-Label | movie | Genre Classification |
| Visual | movie | Analytics |
| Wavelet-based blotch detection in old | movie | s |
| What Can Expressive Semantics Tell: Retrieval Model for a Flash- | movie | Search Engine |
| YouTube | movie | Reviews: Sentiment Analysis in an Audio-Visual Context |
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