NDLI: Intelligently Connecting People with Information

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Searching for A Thing

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Video Indexing, Search, Detection, and Description with Focus on TRECVID

Generating Video Descriptions with Topic Guidance

Transductive Visual-Semantic Embedding for Zero-shot Learning

Insiders and Outsiders: Comparing Urban Impressions between Population Groups

The Geo-Privacy Bonus of Popular Photo Enhancements

An Unsupervised Distance Learning Framework for Multimedia Retrieval

TEX-Nets: Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition

Accelerated Nearest Neighbor Search with Quick ADC

On the Automatic Identification of Music for Common Activities

Musical Instrument Recognition in User-generated Videos using a Multimodal Convolutional Neural Network Architecture

Multimodal Analysis of Image Search Intent: Intent Recognition in Image Search from User Behavior and Visual Content

On the Selection of Anchors and Targets for Video Hyperlinking

How to Make an Image More Memorable?: A Deep Style Transfer Approach

Leveraging Semantic Facets for Adaptive Ranking of Social Comments

Panorama to Panorama Matching for Location Recognition

Expo: An Expectation-oriented System for Selecting Important Photos from Personal Collections

A Generic Framework for Social Event Analysis

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Estimating the Information Gap between Textual and Visual Representations

3D Facial Video Retrieval and Management for Decision Support in Speech and Language Therapy

Deep Sentiment Features of Context and Faces for Affective Video Analysis

Light Curve Analysis From Kepler Spacecraft Collected Data

ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections

DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right

Improving Small Object Proposals for Company Logo Detection

Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach

A Spatio-Temporal Category Representation for Brand Popularity Prediction

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval

Visual Descriptors in Methods for Video Hyperlinking

Cross-modal Image-Graphics Retrieval by Neural Transfer Learning

Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction

Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection

Multimodal Video Retrieval with the 2017 IMOTION System

Semi-Automatic Retrieval of Relevant Segments from Laparoscopic Surgery Videos

Information Retrieval from Multi-Sensor Data for Enriching Location Services at HERE Technologies

MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding

Music-Guided Video Summarization using Quadratic Assignments

Frame-Transformer Emotion Classification Network

Health Multimedia: Lifestyle Recommendations Based on Diverse Observations

Scalable Hadoop-Based Pooled Time Series of Big Video Data from the Deep Web

Balanced Search Space Partitioning for Distributed Media Redundant Indexing

Discrete Multi-view Hashing for Effective Image Retrieval

Groups Re-identification with Temporal Context

Bridging the Aesthetic Gap: The Wild Beauty of Web Imagery

Embedding Watermarks into Deep Neural Networks

Linking Multimedia Content for Efficient News Browsing

DRAW: Deep Networks for Recognizing Styles of Artists Who Illustrate Children's Books

Finger Vein Image Retrieval via Coding Scale-varied Superpixel Feature

Tiny Transform Net for Mobile Image Stylization

The JORD System: Linking Sky and Social Multimedia Data to Natural Disasters

On the Effectiveness of Distance Measures for Similarity Search in Multi-Variate Sensory Data: Effectiveness of Distance Measures for Similarity Search

Intelligently Connecting People with Information

Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data

PACE: Prediction-based Annotation for Crowded Environments

Deep Supervised Hashing for Multi-Label and Large-Scale Image Retrieval

Quadruplet Networks for Sketch-Based Image Retrieval

Simple, Efficient and Effective Encodings of Local Deep Features for Video Action Recognition

Learning to Detect Misleading Content on Twitter

Multi-view Manifold Learning for Media Interestingness Prediction

AMECON: Abstract Meta-Concept Features for Text-Illustration

Joint Saliency Estimation and Matching using Image Regions for Geo-Localization of Online Video

Query and Keyframe Representations for Ad-hoc Video Search

LireSolr: A Visual Information Retrieval Server

Classification of sMRI for Alzheimer's disease Diagnosis with CNN: Single Siamese Networks with 2D+? Approach and Fusion on ADNI

Utilising High-Level Features in Summarisation of Academic Presentations

Manga FaceNet: Face Detection in Manga based on Deep Neural Network

VideoAnalysis4ALL: An On-line Tool for the Automatic Fragmentation and Concept-based Annotation, and the Interactive Exploration of Videos

Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking

Visually Browsing Millions of Images Using Image Graphs

Efficient Indexing of Regional Maximum Activations of Convolutions using Full-Text Search Engines

Family Photo Recognition via Multiple Instance Learning

TaiChi: A Fine-Grained Action Recognition Dataset

Conditional Fast Style Transfer Network

Improving Image Classification using Coarse and Fine Labels

Fast Multi-Modal Unified Sparse Representation Learning

Badminton Video Analysis based on Spatiotemporal and Stroke Features

Intelligently Connecting People with Information

Content Provider	ACM Digital Library
Author	Wang, Changhu
Abstract	How to effectively connect people with information is a fundamental problem in human society. We are now in the era of mobile first, and everything is digitally connected. With the advent of diverse social contents, information feeds have become a new way to connect people with information. Thus, there is a pretty good opportunity for artificial intelligence (AI) to make innovations in this direction. AI can make more efficient and intelligent the creation, moderation, dissemination, searching, consumption, and interaction of information and contents. As an industry leader in the product platform and service of information feeds, Toutiao takes the lead to develop and leverage diverse machine learning techniques to efficiently process, analyze, mine, understand, and organize a large amount of multimedia data. Meanwhile, owning to its rich application scenarios and active users all over the world, we have accumulated huge amount of training data, which makes the machine learning system form a closed feedback loop and thus can continually improve and evolve itself. This closed-loop system enables Toutiao to develop core AI technologies in large-scale machine learning, text analysis, natural language processing, computer vision, and data mining. In this talk, I will share some personal opinions to the development prospects of AI in this fundamental area, including my understanding to AI, important research progress in recent years, the influence of AI to the software industry, and how to build the core competence strategy of AI in a company. Moreover, I will also introduce some research progress of Toutiao AI Lab.
Starting Page	501
Ending Page	501
Page Count	1
File Format	PDF
ISBN	9781450347013
DOI	10.1145/3078971.3081371
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-06-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Machine learning Information feeds Artificial intelligence
Content Type	Text
Resource Type	Article

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