Cover Image

Integrating Video and Text: A Balanced Approach to Multimodal Summary Generation and Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pennec, Galann, Liu, Zhengyuan, Asher, Nicholas, Muller, Philippe, Chen, Nancy F.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Minimal Clips, Maximum Salience: Long Video Summarization via Key Moment Extraction
by: Pennec, Galann, et al.
Published: (2025)

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation
by: Jing, Liqiang, et al.
Published: (2025)

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
by: Yu, Weihao, et al.
Published: (2023)

ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation
by: Yuan, Shenghai, et al.
Published: (2024)

Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
by: Tong, Jingqi, et al.
Published: (2025)

Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering
by: Si, Chenglei, et al.
Published: (2024)

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities
by: Yu, Weihao, et al.
Published: (2024)

Towards an Automated Multimodal Approach for Video Summarization: Building a Bridge Between Text, Audio and Facial Cue-Based Summarization
by: Islam, Md Moinul, et al.
Published: (2025)

The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation
by: Gao, Bingjie, et al.
Published: (2025)

Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation
by: Kasaei, Seyed Amir, et al.
Published: (2025)

Evaluating Multimodal Large Language Models on Vertically Written Japanese Text
by: Sasagawa, Keito, et al.
Published: (2025)

Multimodal Integration of Human-Like Attention in Visual Question Answering
by: Sood, Ekta, et al.
Published: (2021)

Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text
by: Rahman, Mizanur, et al.
Published: (2025)

Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model
by: Huang, Haoyang, et al.
Published: (2025)

Modality-Agnostic fMRI Decoding of Vision and Language
by: Nikolaus, Mitja, et al.
Published: (2024)

Temporal Reasoning Transfer from Text to Video
by: Li, Lei, et al.
Published: (2024)

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos
by: Song, Tingyu, et al.
Published: (2025)

Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
by: Hu, Yushi, et al.
Published: (2025)

MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs
by: Qian, Yusu, et al.
Published: (2024)

MINOS: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text
by: Zhang, Junzhe, et al.
Published: (2025)

Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization
by: Li, Jialu, et al.
Published: (2025)

Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think
by: Chen, Liang, et al.
Published: (2025)

From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
by: Wang, Xiangfeng, et al.
Published: (2025)

Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering
by: Li, Yangfu, et al.
Published: (2025)

Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
by: Zhou, Shijie, et al.
Published: (2025)

MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
by: Guo, Xiaoqing, et al.
Published: (2024)

EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
by: Tan, Zhiyu, et al.
Published: (2024)

Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
by: Chen, Dongping, et al.
Published: (2024)

TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation
by: Feng, Weixi, et al.
Published: (2024)

Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMs
by: Sun, Kaiser, et al.
Published: (2026)

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
by: Yang, Yue, et al.
Published: (2025)

Image2Text2Image: A Novel Framework for Label-Free Evaluation of Image-to-Text Generation with Text-to-Image Diffusion Models
by: Huang, Jia-Hong, et al.
Published: (2024)

A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation
by: Li, Yunxin, et al.
Published: (2024)

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
by: Zhu, Kejian, et al.
Published: (2025)

HawkEye: Training Video-Text LLMs for Grounding Text in Videos
by: Wang, Yueqian, et al.
Published: (2024)

American Sign Language Video to Text Translation
by: Roy, Parsheeta, et al.
Published: (2024)

OSCBench: Benchmarking Object State Change in Text-to-Video Generation
by: Han, Xianjing, et al.
Published: (2026)

Holistic Evaluation for Interleaved Text-and-Image Generation
by: Liu, Minqian, et al.
Published: (2024)

OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models
by: Yu, Wenwen, et al.
Published: (2025)

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs
by: Jiang, Houcheng, et al.
Published: (2026)