Video Summarise 入门

Video Summarise 入门

  • Definition
  • [Achieve method](#Achieve method)
  • [What can chatgpt do for Video Summarise?](#What can chatgpt do for Video Summarise?)
  • Literatures

Definition

"Video summarization" refers to the process of creating a concise and condensed representation of a video, capturing its essential content, key events, or highlights. The goal is to provide a shorter version of the video that retains its most important information, making it more accessible for viewers and easier to comprehend.

Achieve method

Video summarization can be achieved using various techniques, including:

  1. Keyframe Extraction: Selecting representative frames from the video to create a summary.

  2. Shot Boundary Detection: Identifying transitions between shots to divide the video into segments.

  3. Object or Activity Recognition: Using computer vision algorithms to recognize and highlight important objects or activities in the video.

  4. Temporal Sub-sampling: Selecting specific segments of the video to include in the summary while maintaining the temporal flow.

  5. Clustering and Classification: Grouping similar frames or shots together and selecting representative clusters.

The aim is to create a condensed version that captures the essence of the video, making it more manageable for users to review or comprehend the content without watching the entire video.

What can chatgpt do for Video Summarise?

  1. Textual Summaries: You can provide a description or transcript of the video to ChatGPT, and it can generate a concise summary based on the input.

  2. Clarification: If there are specific points in the video that need clarification or more context, you can ask ChatGPT for additional information.

  3. Question-Answering: If you have questions about specific details in the video, you can ask ChatGPT for answers, helping you understand and summarize the content.

  4. Scripting Assistance: If you're creating a script for a video summary, ChatGPT can help generate or refine the script based on your input.

Literatures

Title Year Publication
Video Summarise Using Deep Neural Networks: A surey 2021 IEEE
相关推荐
华新嘉华DTC创新营销1 小时前
华新嘉华:AI搜索优化重塑本地生活行业:智能推荐正取代“关键词匹配”
人工智能·百度·生活
SmartBrain2 小时前
DeerFlow 实践:华为IPD流程的评审智能体设计
人工智能·语言模型·架构
l1t3 小时前
利用DeepSeek实现服务器客户端模式的DuckDB原型
服务器·c语言·数据库·人工智能·postgresql·协议·duckdb
寒月霜华4 小时前
机器学习-数据标注
人工智能·机器学习
九章云极AladdinEdu5 小时前
超参数自动化调优指南:Optuna vs. Ray Tune 对比评测
运维·人工智能·深度学习·ai·自动化·gpu算力
人工智能训练师6 小时前
Ubuntu22.04如何安装新版本的Node.js和npm
linux·运维·前端·人工智能·ubuntu·npm·node.js
Chandler_Song7 小时前
【读书笔记】《有限与无限的游戏》
论文阅读
cxr8287 小时前
SPARC方法论在Claude Code基于规则驱动开发中的应用
人工智能·驱动开发·claude·智能体
研梦非凡7 小时前
ICCV 2025|从粗到细:用于高效3D高斯溅射的可学习离散小波变换
人工智能·深度学习·学习·3d
幂简集成8 小时前
Realtime API 语音代理端到端接入全流程教程(含 Demo,延迟 280ms)
人工智能·个人开发