We started with a straightforward-sounding problem: take live video streams delivered over HLS and DASH,and extract meaningful context in near real time.Map each moment to a standard content taxonomy so that ad decisioning has something useful to work with...
Ad detection from a video stream involves identifying and segmenting promotional content within a larger video sequence.This process is crucial for various applications,including content monitoring,ad verification,automated content moderation,enhancing use...
In a relational database,a "Table" stores structured data rows and columns.In a vector database,its equivalent is a "Collection," which stores vector embeddings along with optional metadata.Vector databases often leverage multiple collections to perform co...
The integration of Approximate Nearest Neighbor (ANN) vector search into traditional Relational Database Management Systems (RDBMS) represents a major shift in database technology.Driven by the explosion of Generative AI and Retrieval-Augmented Generation ...
RedisVL (Redis Vector Library) is an official Python client library designed to simplify using Redis as a vector database.It provides an intuitive,high-level interface for AI / ML developers to manage vector schemas,create indexes,store embeddings,and perf...
A Skill Registry in AI is a centralized catalog that stores,manages,and defines modular tools,functions,or prompt capabilities that an AI agent can dynamically access.Instead of forcing developers to preload the descriptions,schemas,and instructions for ev...
Live video streaming has historically faced a trade-off between latency (delay between capture and display) and scalability (ability to serve millions of concurrent viewers efficiently).Traditional HTTP-based protocols like Standard HLS and MPEG-DASH intro...
A six-layer production architecture designed to ingest raw video streams and files,extract multimodal semantic insights,enforce brand safety and regulatory compliance,and output structured,ad-targetable metadata in sub-hundred-millisecond response windows....
If you're standing up Retrieval-Augmented Generation (RAG) on top of a data warehouse or lakehouse,the marketing decks make it sound simple: "native vector search,built right in." That's true — but the details matter enormously,and a lot of intuitions peo...
EXT-X-DISCONTINUITY in HLSEXT-X-DISCONTINUITY is a tag in an HLS (HTTP Live Streaming) playlist (M3U8 manifest) that signals a discontinuity between the media segment immediately preceding it and the media segment immediately following it.This tag indicate...
The fundamental principle of a vector database revolves around embeddings.An embedding is a numerical representation (a vector) of text,images,audio,or other data,capturing its semantic meaning in a high-dimensional space.LLMs (Large Language Models) are o...
I had a case to disable audio tracks when the app played back the HLS video stream.The initial approach I tried was to mute the sound,but the problem was that the user could turn it on any time.The best method to disable audio tracks in HLS.js,rather than ...
Below is from Alex Xu.The Data Engineering RoadmapData engineering has become the backbone of effective data analysis.It involves managing,processing,and optimizing data to derive actionable insights.Here’s a roadmap that can help you get better at data e...
What is MCP?Model Context Protocol (MCP) is a framework,often used in fields like Model-Based Systems Engineering (MBSE),but increasingly relevant in AI and software development in general,that defines how models (of systems,data,processes,etc.) should be ...
The #EXT-X-DISCONTINUITY tag in an HLS (HTTP Live Streaming) playlist is used to indicate a discontinuity between segments,such as when there is a change in encoding parameters,timestamps,or even when switching between different media streams. Example HLS ...
Python offers a variety of libraries for audio separation,allowing you to isolate individual instruments or vocals from a mixed audio track.Popular choices include Librosa,a powerful audio analysis and manipulation library with functions for source separat...
Apache Flink is an open-source,distributed stream processing framework that enables stateful computations over unbounded and bounded data streams.It is designed for high-throughput,low-latency,and fault-tolerant processing of data in real-time.Flink provid...
Brand safety—preventing ads from appearing next to inappropriate,offensive,or illegal content—is a critical advertiser concern.A family-oriented brand (Disney,Nestle,American Express) will not tolerate ads appearing on pages containing violence,hate spee...
What is Milvus?Milvus is an open-source vector database designed for storing,indexing,and managing billions of embedding vectors.It specializes in high-performance similarity search over these vectors.Milvus is built to handle the unique challenges of vect...
Amazon SageMaker and vector similarity search libraries / databases like FAISS and Milvus serve distinct yet often complementary roles in a machine learning ecosystem.It is worth comparing them to understand how they fit into the broader ML workflow,as the...
Image embeddings are numerical representations (vectors) of images that capture their semantic meaning and visual characteristics.Instead of storing raw pixel data,an embedding transforms an image into a high-dimensional vector where images with similar co...
Media Segment Independence in HLSThe #EXT-X-INDEPENDENT-SEGMENTS tag in HLS (HTTP Live Streaming) plays a critical role in ensuring smooth and reliable video playback,particularly in managing audio-visual synchronization,especially during adaptive bitrate ...
This guide will walk you through installing all the necessary components on CentOS 7 to run PHP applications with Apache,and interact with Apache Kafka. 1.CentOS 7 Base System PreparationFirst,ensure your system is up-to-date and install essential utilitie...
What is Apache Kafka?Apache Kafka is a distributed streaming platform designed for building real-time data pipelines and streaming applications.It's a publish-subscribe messaging system that enables applications to publish and subscribe to streams of recor...
Many people ask me what a vector database means.Vector databases,a concept researched for far longer than often realized,trace their mathematical and theoretical origins to the 1970s with early work on vector space models and high-dimensional data processi...
HTTP Live Streaming (HLS) was developed by Apple Inc.and was first introduced in 2009 with the release of iOS 3.0 and QuickTime X.HLS was created as a solution to deliver video and audio content over HTTP,enabling adaptive streaming based on network condit...
Video key frames (I-frames) are complete,independently encoded images that serve as crucial random access points,anchoring a Group of Pictures (GOP) which includes dependent P and B frames that build upon them for compression.Proper management of these I-f...
In the realm of machine learning,making accurate predictions based on historical data is a common and crucial task.Two popular methods for tackling such problems are Linear Regression and K-Nearest Neighbors (KNN) Regression.Both come with their unique str...
AI stands for Artificial Intelligence.It refers to the simulation of human intelligence processes by machines,especially computer systems.These processes include learning (the acquisition of information and rules for using the information),reasoning (using...