Interactive Video Player Anomaly Detection and Seamless Transition

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Solution Overview

Problem

Existing media players fail to dynamically adapt to user interactions and passive data, leading to disconnects in audio and video between segments in interactive videos, and lack effective methods for identifying anomalous activity.

Innovation Solution

A computer-implemented method that tracks user interactions and environment data to dynamically modify the video player and content based on behavioral patterns, and identifies non-human users by analyzing anomalous activity factors, allowing for adaptive playback and fraud detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If separate video segments are used for interactive video choices, then user interaction functionality is enabled, but noticeable disconnect in audio and video occurs between segments

Engineering Contradiction:

Improveuser interaction functionalityVSAvoidaudio-video continuity

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system preloads multiple video segments and buffers audio streams in advance before user interactions occur. This preliminary preparation ensures that when users make choices at branching points, the corresponding video and audio segments are already ready, eliminating noticeable disconnects and maintaining seamless playback experience.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary buffering mechanism that decouples video segment transitions from audio playback. This intermediary layer smooths out the transitions by maintaining continuous audio flow while rapidly switching video segments, thereby resolving the disconnect issue between audio and video during interactive choices.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If media players use fixed playback components, then device complexity is reduced, but inability to adapt to user interactions and passive data occurs

Engineering Contradiction:

Improvemedia player structureVSAvoidadaptation to user interactions

Core Design Contradiction:

Device complexityVSAdaptability or versatility

Solution Approach 1:

The media player employs dynamic component modification where playback parameters such as frame rate, bitrate, and buffer size are automatically adjusted based on real-time analysis of user interactions and environmental data. This dynamic adaptation allows the player to optimize performance for different user behaviors without requiring complete system redesign.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback loops that continuously monitor user interactions, device performance, and environmental conditions. Based on this feedback, the media player automatically modifies its playback components to optimize the viewing experience, enabling adaptation to user preferences while maintaining manageable system complexity through automated control.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If media players track detailed user interaction data, then adaptive playback capability is improved, but difficulty in identifying anomalous activity increases

Engineering Contradiction:

Improveadaptive playback capabilityVSAvoidanomalous activity detection

Core Design Contradiction:

Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system replaces complex manual analysis of user behavior patterns with automated machine learning models and anomaly detection algorithms. These computational systems process detailed interaction data to identify fraudulent activities such as bot behavior or manipulation attempts, making anomalous detection more effective while managing the complexity of data processing through algorithmic automation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11245961B2System and methods for detecting anomalous activities for interactive videos

Publication Date: 2022.02.08 JBF INTERLUDE 2009

AI summary

Methods and supporting systems collect data associated with interactive videos user engagement and dynamically adapt an interactive video application and/or interactive video content and detect anomalous behaviors based on the data.