Video features
CREATED FOR:
- Intermediate
- User
Video features represent distinct and informative elements, sounds, or patterns within a video for analysis with Insights. These features help in categorizing and understanding the video content, enabling more accurate and detailed insights. By identifying various attributes such as audio mood, music genre, and objects, the AI can provide a comprehensive analysis of the video, aiding in better decision-making and strategy formulation.
Audio detection
Audio detection in GenStudio for Performance Marketing involves analyzing the audio track of a video to identify various attributes. This detection process determines the overall mood of the audio by identifying the types of audio present, tagging specific genres or categories of music, and extracting keywords from speech. By understanding these audio elements, the AI can provide deeper insights into the video’s content and context, enhancing the overall analysis and categorization process.
Search video features
To preview a video and hear a sample of the audio:
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In Insights, select the Attributes view.
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Change the table view by selecting Video.
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Select a feature from the Attribute category list. For an audio example, select Music genre.
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Select an attribute for a detailed view of videos that share that category.
As an example, the
Music genrecategory may haveelectronicas an attribute. -
The Attribute details page lists all the videos with this attribute. Hold your mouse pointer over any video in the list to start a video preview.
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Toggle the unmute (located in the lower-left corner of a video preview) button and listen to the audio of the video preview.
The following table lists the video feature categories recognized by the GenStudio for Performance Marketing AI. The detected attributes list for an media content is not exhaustive. Media that contains a rich set of features may be limited to the three most dominant features identified by the AI.
| Category | Description | Example |
|---|---|---|
| Audio Mood | Determines the overall emotional tone or atmosphere of the audio track, such as calm, upbeat, or tense. | Energetic, Happy, Emotional Ambient/atmospheric, Relaxing, Dramatic, Expressive/characterful, Intense, Slow, Neutral |
| Audio Types | Tags the video with one or more audio content types present, such as music or speech. | Music, Speech, Silence, Special effects, Ambience |
| Categories | Classifies the video into one or more broad content categories. | Entertainment, Sports, Music, Gaming, Howto tutorials, Fashion and style, Film and animation, Science and technology, Autos and vehicles, Pets and animals, People and blogs, News and politics, Social causes and activism, Travel and events, Education, Sales and offers |
| Music Category | Broad classification of music genre when music is present in the video. Genre helps in identifying the general type of music, such as contemporary or traditional styles. | Contemporary/pop music, Traditional/folk-based music, Instrumental/orchestral music, Rock music, Acoustic/unplugged music, Specialised/occasional music, Experimental/unique music |
| Music Genre | Specific classification of music style when music is present in the video, which provides a more detailed identification of the music, such as electronic or jazz. | electronic, hip-hop, dance, novelty, rock, world, reggae, pop, film, jazz, background, latin |
| Objects | Identifies one or more items, entities, and elements that appear in the video. | Values are too numerous, but some examples include: backpack, book, hawk, glasses, fish, pencil, mountain bike, soap |
| Orientation | The alignment of the video in relation to its width and height. Detects whether it is wider than it is tall (landscape), taller than it is wide (portrait), or equal in width and height (square). | landscape, portrait, square |
| People | When at least one person is present, one or more attributes may describe the person, or persons present in the video. | person, woman, man, girl, boy, social group, kid, crowd, people |
| Scenes | Identifies the setting or environment within a video, providing context about where the video was made or the type of location depicted. | Values are too numerous, but some examples include: lake, underwater, highway, hill, log cabin, island, beach, lounge |
| Styles | Detects visual treatments applied to video elements, such as those used in After Effects or Lightroom. | design, illustration, logo, square, cartoon, art, matte, neon |
| Tags | Detects other video characteristics that do not fall under a specific classification. Tags provide additional context and metadata about the video. | Values are too numerous, but some examples include: construction, gothic, healing, military, selfie, football, typing, dancer, dancing |
