As the digital realm continues to evolve, the traditional requirements for video analytics no longer suffice. Now, more than ever, businesses demand sophisticated tools that can easily sift through vast amounts of video content. 

In this blog, we delve into the transformative importance of video search and the indispensable role of image and text analysis in deciphering the intricacies of modern media consumption. 

Join us as we unveil why Exolyt’s AI Video Search is not just an additional feature but a necessity in today's dynamic digital landscape.

With the exponential growth of video content across social media platforms, businesses require advanced tools to efficiently capture, analyze, reveal, and democratize meaningful insights. 

However, we often get caught up in quantitative metrics, focusing solely on metadata like hashtags, engagement rates, and audience size, and overlook the content itself!

Only by understanding the content of a social video can we truly recognize trends and nuances, what people are doing and saying, and what user behaviour looks like. The content can potentially reveal deeper social listening qualitative insights that can be formulated into quality findings. 

Most common approach to social video search:

Many video platforms today, including Exolyt, use tag-based search to find videos. In tag-based search systems, users categorize videos using specific tags or keywords that help platforms understand what is happening inside the video.

• عندما يبحث المستخدمون عن كلمات مفتاحية تطابق هذه الوسوم تمامًا، يُعرض محتوى ذي صلة. على سبيل المثال، إذا بحث مستخدم عن “دليل سريع لرقصة المون ووك”، فستعرض أنظمة البحث القائمة على الوسوم مقاطع فيديو تحتوي على وسوم مثل “سريع”، “دليل”، “مون ووك”، و“رقص”.

While straightforward, this method often fails to deliver comprehensive results, especially when users employ long-tail detailed keywords and phrase-like queries that do not necessarily align word-for-word with predefined tags.

• استناداً إلى المثال أعلاه، فإن فيديو بعنوان “تعلّم الحركات الأيقونية لمايكل جاكسون في 5 دقائق” لن يظهر ضمن النتائج لأنه لا يتقاطع إطلاقاً مع عبارة البحث الخاصة بالمستخدم.
• بالإضافة إلى ذلك، غالبًا ما يبحث المستخدمون عن كلمات مفتاحية قد لا ترتبط بالموضوع الرئيسي للفيديو. على سبيل المثال، إذا بحث أحد المستخدمين عن «فنان يرتدي قبعة سوداء»، فقد لا يظهر أي فيديو عن مايكل جاكسون في نتائج البحث، لأن من غير المرجح أن تَرِد عبارة «فنان يرتدي قبعة سوداء» في أي مكان ضمن بياناته الوصفية.

Common user attributes:

• Many content creators might not tag or mention your brand or products, but they continue to use them and share interesting feedback by just featuring them.
• Many TikTok’ers tend to use hashtags and captions less and less. However, their videos still showcase something important which is easy to miss.

These issues, among many others, demand improved search capabilities. So, we want to open that window for you at scale with a semantic video search tool. 

تهدف Exolyt من خلال بحث الفيديو بالذكاء الاصطناعي الجديد إلى معالجة هذه المشكلة بشكل مباشر وجعل المحتوى قابلاً للاكتشاف بسهولة.

بدلاً من البحث المعتمد على الوسوم، نستخدم التعلّم الآلي والذكاء الاصطناعي لتحليل الإطارات داخل الفيديو، واستخراج محتواها، وإتاحته للبحث النصي.

Exolyt’s video search moves beyond hashtag and caption search to semantic analysis which will be able to capture all videos that are missed.

Its results are extensive, covering videos that show your products on the screen despite being untagged. You can also find mentions in the text on screen related to your search and more to help you aggregate video content most relevant to your needs.

Exolyt uses cutting-edge machine learning to convert videos into high-dimensional vectors. These vectors try to capture the most distinct features of the videos, and based on these features, we create a coordinate system where each video has its own unique place. 

That’s how we uncover content lost in the fog of e-commerce and entertainment by capturing the most relevant videos for your needs.

إليك مثال بسيط باستخدام أشكال وألوان بسيطة -

Suppose we had these tree shapes and had to describe their differences and similarities effectively.

We can see that shapes have two distinct properties: roundness and colour. We could create a “coordinate” system where “roundness” and “colour” are the dimensions and place these shapes in that coordinate system like this:

The further right you go, the roundness of the shapes increases, and the further up you go, the more colourful the shapes become. 

Our content search operates on the same fundamental principles however, instead of shapes, we use videos, and instead of ”roundness” and “colourfulness,” we use more content-specific features.

فيما يلي مثال مُبسّط للغاية يوضّح كيفية تمثيل المنهجية بصريًا في سياق مقاطع الفيديو -

We can imagine that one dimension measures the video’s “cosmetic”-ness while the other measures its “fashion”-ness, and we can use these dimensions to map the videos and measure how far they are from each other.

Bear in mind that this example uses only two very simple dimensions. In reality, our methodology uses extremely high dimensional spaces and very abstract vectors. This allows us to relate all videos to each other in a very detailed manner and empowers our users to conduct high-precision content searches.

As mentioned before, there is an increasing need to capture videos that are missed because of limited search potential that doesn’t analyze the video content holistically.

محرك بحث الفيديو بالذكاء الاصطناعي من Exolyt يعالج هذا التحدّي بفضل قدرته على البحث بسرعة عبر كميات ضخمة من محتوى TikTok. وهذا أمر أساسي للشركات التي تدرس سلوك المستخدم والتفاعل الاجتماعي بدقة على مستوى الإطار، من خلال دمج تفاصيل المحتوى بمقاييس الأداء. بالإضافة إلى ذلك:

• Searching and viewing a wide array of content relevant to your business helps you better understand what types of videos gain traction and promote content strategies that align with your audience's interests and behaviors.
• Content search enables brands to identify influencers whose content aligns with their values and marketing goals. This makes it easier to forge authentic partnerships likely to resonate with both the influencer’s and the brand’s audiences.
• Brands can use content search to track where and how they are mentioned across various TikTok videos. This capability is crucial for managing brand reputation, responding to customer feedback, and engaging with the community on time.
• فيما يلي مثال مبسّط للغاية يوضّح كيفية تمثيل المنهجية بصرياً في سياق مقاطع الفيديو -

*This feature is currently in Alpha, and we are continuously improving it behind the scenes. So, if you are a customer, please feel free to share your feedback!