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    Entertainment
    11 min read

    Automated Sports Highlight Generation

    For sports broadcasters with 1000+ hours of live content. Auto-generate highlights in minutes. 95% key moment detection, 10x faster production.

    Who It's For

    Sports broadcasters, streaming platforms, and sports media companies who need to produce highlight content rapidly across multiple games and sports

    Problem Solved

    Manual highlight editing takes hours per game. Broadcast teams cannot create highlights for all games, and social clips miss key moments due to time pressure

    Why Mixpeek

    95% key moment detection accuracy, 10x faster highlight production, and automatic generation of social clips during live games

    Overview

    Sports fans want highlights immediately. This use case shows how Mixpeek enables real-time highlight generation that keeps pace with live action.

    Challenges This Solves

    Production Speed

    Highlights needed within minutes of game end

    Impact: Slow production loses audience to competitors

    Volume Coverage

    Dozens of simultaneous games across leagues

    Impact: Cannot staff editors for every game

    Social Timeliness

    Social clips needed during live game

    Impact: Viral moments missed if not clipped immediately

    Context Understanding

    Key moments depend on game situation

    Impact: Generic AI misses situational importance

    Implementation Steps

    Mixpeek analyzes live sports footage to detect key moments (scores, celebrations, replays), understand game context, and automatically generate highlight packages

    1

    Process Live Feed

    Analyze game footage in real-time

    import { Mixpeek } from 'mixpeek';
    const client = new Mixpeek({ apiKey: process.env.MIXPEEK_API_KEY });
    // Process live sports feed
    await client.streams.connect({
    stream_id: 'nfl-week12-game1',
    source_url: 'rtmp://broadcast/live/game1',
    extractors: [
    'action-recognition', // Plays, celebrations
    'score-detection', // Scoreboard OCR
    'audio-analysis', // Crowd reaction, commentary
    'replay-detection', // Broadcast replays
    'player-identification' // Jersey numbers, faces
    ],
    settings: {
    sport: 'american_football',
    latency_mode: 'real_time',
    key_moment_threshold: 0.75
    }
    });
    2

    Detect Key Moments

    Identify highlight-worthy events

    // Real-time key moment detection
    client.streams.onKeyMoment('nfl-week12-game1', async (moment) => {
    console.log(`Key moment detected: ${moment.type}`);
    // Moment types: touchdown, interception, big_play,
    // celebration, replay, injury_timeout, challenge
    const clip = {
    start_time: moment.timestamp - 5, // 5s before
    end_time: moment.timestamp + 10, // 10s after
    type: moment.type,
    importance: moment.score,
    context: {
    quarter: moment.game_context.quarter,
    time_remaining: moment.game_context.clock,
    score: moment.game_context.score,
    situation: moment.game_context.down_distance
    },
    players: moment.detected_players
    };
    await saveKeyMoment(clip);
    });
    3

    Generate Highlight Packages

    Assemble highlights automatically

    // Generate highlight reel from key moments
    async function generateHighlights(gameId: string, format: {
    duration: '2min' | '5min' | '10min';
    style: 'broadcast' | 'social' | 'extended';
    }) {
    const moments = await client.collections.list({
    collection_id: gameId,
    filters: { is_key_moment: true },
    sort: { importance: 'desc' }
    });
    const highlights = await client.highlights.generate({
    moments: moments,
    format: format,
    rules: [
    { include: 'all_scores', priority: 'high' },
    { include: 'turnovers', priority: 'high' },
    { include: 'big_plays', priority: 'medium', yard_threshold: 20 },
    { include: 'celebrations', priority: 'low', max: 3 },
    { exclude: 'injury_replays' }
    ],
    transitions: 'broadcast_style',
    add_graphics: true
    });
    return {
    video_url: highlights.url,
    duration: highlights.duration,
    moments_included: highlights.moment_count,
    thumbnail_url: highlights.best_frame
    };
    }
    4

    Generate Social Clips

    Create shareable clips in real-time

    // Auto-generate social clips during game
    async function generateSocialClip(moment: KeyMoment) {
    const clip = await client.highlights.createSocialClip({
    moment: moment,
    formats: [
    { platform: 'twitter', aspect: '16:9', duration: 30 },
    { platform: 'instagram', aspect: '1:1', duration: 60 },
    { platform: 'tiktok', aspect: '9:16', duration: 60 }
    ],
    add_elements: {
    team_logos: true,
    score_overlay: true,
    player_name: true,
    hashtags: ['NFL', moment.team_hashtag]
    }
    });
    // Auto-publish or queue for review
    if (moment.importance > 0.9) {
    await publishToSocial(clip); // High confidence auto-publish
    } else {
    await queueForReview(clip);
    }
    return clip;
    }

    Retriever Stages Used

    Expected Outcomes

    95% accuracy detecting highlight-worthy moments

    Key Moment Detection

    10x faster highlight package creation

    Production Speed

    100% of games receive highlights vs 30% previously

    Coverage

    Social clips posted within 60 seconds of live action

    Social Timeliness

    70% reduction in highlight production costs

    Production Cost

    Frequently Asked Questions

    Ready to Implement This Use Case?

    Our team can help you get started with Automated Sports Highlight Generation in your organization.