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intro-skipper avatar

intro-skipper/intro-skipper

0
View on GitHub↗
2,469 estrellas·148 forks·C#·GPL-3.0·12 vistasdiscord.intro-skipper.org↗

Intro Skipper

Intro Skipper is a media server plugin and automated playback utility designed to identify and bypass television opening sequences. It functions as an automated content sequence skipper that detects repeated introduction segments in video files to improve viewing efficiency.

The tool employs audio fingerprinting to analyze audio patterns during playback, comparing waveforms against known templates to trigger skip events. It allows for the management of playback preferences across multiple client devices to determine how these opening sequences are handled.

The project covers automated media playback control and temporal metadata analysis to determine precise skip intervals. It provides a system for configuring intro skipping and managing client-side playback controls.

Features

  • Intro and Credit Skipping - Automatically identifies and bypasses television opening sequences during media playback.
  • Media Server Plugins - Functions as an extension for media servers to manage playback preferences and automated skipping.
  • Playback Sequence Automators - Detects repeated introduction segments in video files to improve viewing efficiency.
  • Template Matching - Matches current audio streams against pre-recorded fingerprints of common show intros.
  • Audio Temporal Alignment - Analyzes time-stamped audio data to determine precise skip intervals for media files.
  • Intro and Credit Skippers - Identifies and bypasses television opening sequences by analyzing audio patterns.
  • Audio Fingerprint Matching - Implements audio fingerprint matching to identify the start and end of television opening sequences.
  • Automated Skipping - Automatically detects and skips opening credits and introductions during television episode playback.
  • Binge-Watching Optimizations - Improves the binge-watching experience by removing repetitive intro sequences across episodes.
  • Media Playback Controls - Provides client-side controls to manipulate media timestamps and jump forward during playback.
  • Playback Enhancements - Adds intelligent skip functionality to media players via audio fingerprinting.
  • Playback Preferences - Allows users to configure playback preferences for intro skipping across multiple devices.
  • Playback Enhancements - Automatically detects and skips intro and outro segments.

Historial de estrellas

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Preguntas frecuentes

¿Qué hace intro-skipper/intro-skipper?

Intro Skipper is a media server plugin and automated playback utility designed to identify and bypass television opening sequences. It functions as an automated content sequence skipper that detects repeated introduction segments in video files to improve viewing efficiency.

¿Cuáles son las características principales de intro-skipper/intro-skipper?

Las características principales de intro-skipper/intro-skipper son: Intro and Credit Skipping, Media Server Plugins, Playback Sequence Automators, Template Matching, Audio Temporal Alignment, Intro and Credit Skippers, Audio Fingerprint Matching, Automated Skipping.

¿Qué alternativas de código abierto existen para intro-skipper/intro-skipper?

Las alternativas de código abierto para intro-skipper/intro-skipper incluyen: streamyfin/streamyfin — Streamyfin is a cross-platform media player client built for Jellyfin media servers. It provides a dedicated mobile… worldveil/dejavu — Dejavu is a Python audio fingerprinting library and recognition engine. It functions as a digital audio signature tool… muxinc/media-chrome — Media Chrome is a library of modular, accessible web components designed for building custom audio and video player… pystardust/ani-cli — ani-cli is a command line interface designed for searching, streaming, and downloading anime content. It functions as… javscraper/emby.plugins.javscraper — This project is a metadata plugin for Emby that functions as a specialized media scraper. Its primary purpose is to… cgzirim/seek-tune — Seek-Tune is an audio fingerprinting library that implements a Shazam-like algorithm for identifying songs from audio…

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