What is an in-video search?

What is In-video search?

Imagine you've just wrapped up an epic game with a flurry of last-minute action. Traditionally, finding the key moments for a highlight reel meant sifting through hours of footage. But with an in-video search, you can instantly pinpoint those clutch plays, game-changing fouls, or a specific player's performance.

It's like having a superpowered rewind button that lets you search within the video itself. Think of it like a superpowered "find" function for video editors, analysts or investigators.

Instead of manually scrubbing through hours of footage, you can use keywords or other criteria to instantly jump to specific moments. This saves a ton of time and makes editing much more efficient.

In-video search or search inside video, allows you to search within videos for specific moments or information, significantly reducing manual effort.

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Workflows of in-video search

Target specific moments: Search for keywords or phrases spoken in the video to instantly jump to those sections.

Identify visual elements: Look for objects or actions on screen. Imagine searching for "dunk" to instantly find all the dunks in a basketball game.

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Navigate long videos: No more endlessly scrubbing through footage. Find the exact scene you need by searching for its content. In essence, in-video search acts like a powerful indexing tool that helps you pinpoint specific moments within a video based on audio or visual cues.

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How does In-Video search works?

Metadata timeline and cataloging: In-video search systems often leverage existing metadata associated with the video, such as titles, descriptions, and timestamps. This initial information helps categorize and organize the video content. 
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Chunking and encoding: Videos are typically broken down into smaller segments (chunks) for more efficient processing. Each chunk is then passed through encoders that convert the video and audio data into a format suitable for analysis. This encoded data is often referred to as "embeddings." 
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Vector database formation: The embeddings generated from each chunk are compiled and stored in a special type of database called a vector database. This database allows for efficient searching based on similarity comparisons. 
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Query vector creation: When user enters a search query, the system also creates a vector representation of that query. This vector might be based on keywords extracted from your text or visual information you provide. 
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Similarity model comparison: The core of in-video search lies in the similarity model. This model compares the vector representing your search query with the vectors stored in the database for each video chunk. It essentially calculates how closely the query matches the content within each chunk. 
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Scene ranking and retrieval: Based on the similarity scores generated by the model, the system ranks relevant video chunks. The most relevant scenes (based on the highest similarity scores) are then retrieved and presented to you as search results.

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Use cases of In-Video search for broadcasters and media houses

In-video search unlocks a treasure trove of possibilities for broadcasters and the streaming industry, transforming how they create, manage, and deliver content to viewers. Here are some compelling use cases:

Enhanced Content Creation:

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Effortless highlights & reels: As discussed earlier, in-video search streamlines the process of creating highlight reels. Broadcasters can search for specific plays, moments, or player actions within games, saving them hours of manual scrubbing through footage.
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Targeted edits: Imagine being able to tailor content for specific audiences. Search for interviews with a particular celebrity or behind-the-scenes footage from a specific location to create targeted edits for regional viewers.
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Real-time response: Capitalize on trending topics and audience reactions. Search for social media buzzwords or viral moments mentioned during live broadcasts and quickly incorporate them into your programming.

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Streamlined video workflows:  

Archive optimization: Broadcasters often have vast video archives. In-video search makes them readily searchable. Search for keywords, topics, or even specific visuals to locate relevant footage for documentaries, news segments, or other productions.
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‍Content verification: Dispute resolution becomes a breeze. Search for specific quotes or events within a broadcast to verify their accuracy.
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‍Improved compliance: Ensure adherence to regulations. Search for copyrighted content or inappropriate language to proactively address compliance concerns.Personalized Viewing Experiences:
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‍Advanced search options: Empower viewers with granular search functionalities. Let them search for specific actors in a movie, a musical performance within a concert, or a particular recipe mentioned in a cooking show.
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‍Interactive content: Create a more engaging experience. Integrate in-video search features within your streaming platform, allowing viewers to search for content directly within the video they're watching.
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‍Accessibility features: Make content inclusive for all. In-video search can be leveraged to generate closed captions or transcripts based on the audio content within the video, improving accessibility for viewers with hearing impairments.In essence,

in-video search empowers broadcasters and streaming services to unlock the true potential of their video content libraries. It streamlines workflows, enhances content creation, and fosters a more personalized and interactive viewing experience for audiences.

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Use cases of In-Video search in edutech and corporates

In-video search can be a significant change for the edutech and corporate sectors, transforming how information is delivered, accessed, and retained. Here's a breakdown of its potential applications:
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Edtech (Educational technology):

• Supercharged learning: Imagine students being able to instantly search within educational videos for specific concepts, definitions, or demonstrations. This allows for a more targeted and personalized learning experience. ‍
• Reviewing key moments: Struggling to grasp a complex topic? In-video search allows students to revisit specific explanations or visualizations within a lecture, fostering deeper understanding.
• ‍Accessibility for all learners: In-video search can be used to generate transcripts or closed captions, making educational content accessible for students with hearing impairments or those who prefer to learn through text.
• ‍Interactive learning experiences: Platforms can integrate in-video search functionalities, allowing students to directly search for content within a lecture or presentation, fostering active engagement.
• ‍Curated content creation: Educators can leverage in-video search to curate playlists of specific video segments that target specific learning objectives, creating a more focused learning experience.
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Corporates:

• Boosting knowledge sharing: Corporate training videos often contain a wealth of information. In-video search empowers employees to find specific procedures, troubleshooting steps, or product demonstrations with training materials, improving knowledge retention.
• ‍Onboarding efficiency: New hires can leverage in-video search to quickly find answers to frequently asked questions within onboarding videos, streamlining the onboarding process.
• ‍Improved sales enablement: Sales teams can search for specific product features or customer testimonials within product demo videos, allowing for more targeted and effective sales pitches.
• ‍Corporate knowledge management: Organizations can leverage in-video search to create a searchable repository of internal knowledge-sharing videos, making best practices and company information readily accessible to all employees.
• ‍Meeting relevancy: Search for specific topics or keywords discussed within past meetings, allowing employees to quickly catch up on missed information or revisit key decisions.

In conclusion, in-video search empowers the ed-tech and corporate sectors to create a more dynamic and efficient learning and knowledge-sharing environment. It personalizes learning experiences, improves information accessibility, and streamlines access to critical knowledge within video content.

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Ready to experience the future of video search with FastPix?

Stop wasting time sifting through long video footage! FastPix In-Video Search is the key to unlocking the true potential of your video content library. FastPix offers a free trial, so you can experience the power of in-video search for yourself! See how it can streamline your workflows, enhance your content creation, and empower your users with a more efficient and engaging video experience.

Ready to take your video content to the next level? Let's talk! schedule a demo and explore how In-Video Search can transform the way you work with videos.