1.  Hamed Sadeghi Neshat

2.  With Internet delivery of video content surging to an unprecedented level, video advertising is becoming increasingly pervasive  The main problem in video advertising is intrusiveness and irrelevancy.  The current method for finding proper ads is tag matching  Finding ads based on tag matching can’t necessarily guarantee to find relevant ads for video target audiences

4.  All related works have two parts: o Finding related ads o Finding proper ad insertion point  Finding related ads o Global or temporal tag matching o Speech recognition or object detection  Finding proper ad insertion point o Inserting at shot boundaries o Inserting ads when there is a relevant text on the video frame

5.  Suggesting ads based on video’s target audiences: o Finding target audience of each video o Finding target audience’s interests o Finding ads based on target audience’s interests o Inserting most interesting ads

6.  Subjective o Based on viewer’s statistics  Text Based o Latent Semantic Indexing (LSI)

7.  Target audience profile

8.  Finding Interesting ads for video target Audience o Using Google Keyword categories o Mapping target audience’s interests to Google keywords o Finding those ads which have keywords in target audience’s interests based on mapping function in previous step

10.  Setting: o 15 source video from YouTube o 19 human subjects between 14 and 17 years old asked for: Relevancy: How much displayed ad is relevant to your own activities? Interestingness: How much displayed ad is interesting to you? Satisfaction: For each pair of video and ad, what was the level of your overall satisfaction including two above factors when ad starts.

11.  Results of subjective evaluation:  Comparison with other proposed systems:

12.  main problem in video advertising is intrusiveness and irrelevancy.  Inserting ads based on tag matching can results in irrelevance ads to target audience of a video  By inserting ads based on video target audiences and their interests, we can increase overall user satisfaction about advertising ***  Using other types of target audience segmentation  Evaluating the system for other target audiences